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About this Job: General Summary of Position Functions as the clinical expert educator consultant leader and researcher for information systems. Responsible for the planning development implementation maintenance evaluation and training of information systems to improve processes. Functions as an internal consultant and resource to all personnel and will provide direction and education for all clinical information initiatives in accordance with the strategic objectives of MedStar Medical Group (MMG) and MedStar Health. Monitors and evaluates opportunities for technical innovations and enhancements for MMG ensuring that the applications and systems utilized are consistent with professional standards of best clinical practice. This Provider Informaticist I position will be based in the Baltimore area and focused on supporting ambulatory Oncology. Ideal candidate will be an RN with Oncology experience. Primary Duties and Responsibilities • Assists in establishing and maintaining a therapeutic and safe environment that facilitates and supports the framework for professional clinical practice based upon evidence-based practice in order to achieve quality patient outcomes., • Utilizes approaches and strategies in collaboration with the healthcare team that support and optimize patient care outcomes that are based on the interdisciplinary plan of care., • Functions as a facilitator and innovator for state-of-the-art clinical care with direct involvement in implementing and evaluating new techniques and equipment for safety cost-effectiveness and benefits related to clinical practice., • Serves as a subject matter expert and contributes to the evolving knowledge base related to health informatics. Identifies the informational and computer technology requirements of clinicians to augment the work clinicians do by encompassing patient care education administration and research., • Evaluates and revises existing clinical information systems. Analyzes designs and implements clinical information systems and processes based on customer requirements. Provides analysis and advanced support including hardware maintenance troubleshooting component replacement and repair system monitoring validation and the installation and maintenance of software., • Assesses and analyzes data to identify practice environment and patient care issues and develops appropriate programs and change processes to improve clinical practice. Develops and implements educational strategies to promote computer literacy within the medical group. Develops training plans to implement new technology within clinical areas., • Engages in external and internal formal and informal teaching to clinicians and other health disciplines as required. Collaborates in planning educational activities in accordance with national standards as appropriate., • Works collaboratively within interdisciplinary healthcare team to seek and utilize information (including evidence-based practice/research findings) to develop implement and support organizational objectives patient care standards and quality of care., • Establishes develops and maintains effective relationships working agreements and quality partnerships within the shared decision-making model and within the model of care to ensure quality patient care across the continuum and to secure resources to support evidence based patient care., • Maintains knowledge of current trends and developments in the field of Health Informatics through a variety of professional activities including but not limited to reading the appropriate literature and attending related seminars and conferences. Pursues continuous scholarly growth by engaging in scholarly activity such as innovative program work research papers at regional or national conferences publications and additional graduate work., • Works as the MMG liaison and project manager for information system initiatives. Recommends and manages the interventions to increase acceptance and adoption of clinical applications to encourage the use of information technology in the provision of patient care. Evaluates and ensures compliance and consistency of use of business and clinical applications., • Performs business process analysis needs assessment and cost/benefit analysis in an effort to align information technology solution with business initiatives., • Ensures and promotes compliance with unit divisional and hospital policies and procedures Department of Health Joint Commission and other regulatory standards and takes corrective action when deficiencies occur., • Guides and facilitates the development and modification of performance improvement planning and activities. Documents existing processes within MMG to establish a baseline for the development of improvements. Collaborates with and assists MMG end users and Information Systems to make decisions about how data will be displayed and accessed. Prepares reports maintains records and compiles statistics as required., • Integrates evidence into all clinical informatics and education activities. Assures timely audit reports and communicates recommendations for further action., • Actively participates in research evidence-based practice (EBP) and performance improvement activities. Activities include but are not limited to supporting integration of research into practice increasing staff knowledge and competence about research and EBP and actively collaborating in research studies. Critically analyzes current clinical research for utilization in the expansion and improvement of patient care and patient outcomes., • Participates in meetings and on committees and represents the department and hospital in community outreach efforts. Participates in multi-disciplinary quality and service improvement teams. Minimal Qualifications Education • Bachelor's degree required, • Master's degree in Informatics or Information Management preferred, • One year of relevant education may be substituted for one year of required work experience. Experience • 3 years of progressively more responsible informatics job related experience required, • Experience in systems analysis/programming customer service information systems and/or project management preferred, • Prior experience in an IS or clinical related role preferred, • One year of relevant professional-level work experience may be substituted for one year of required education. Licenses and Certifications • Special certification registration or licensure preferred Knowledge Skills and Abilities • PROBLEM SOLVING: Job requires the highest level of problem solving. The work requires identifying and resolving very complex problems such as developing innovative solutions based on extensive cross-functional knowledge of the entire medical group. INTERNAL CONTACTS: Internal contacts necessary to effectively negotiate persuade or present issues to others within the Hospital. EXTERNAL CONTACTS: Frequent interactions with patients, family and visitors. Frequent contact with corporate IS staff and IS managers at all levels of the organization. Occasional interaction with representatives from technology vendors community agencies credentialing agencies and professional organization(s). INDEPENDENT JUDGEMENT: Work assignments are generally received in the form of broad goals for area(s) of responsibility and require considerable judgment regarding the interpretation of policies development of procedures and selection of appropriate courses of action. This position has a hiring range of : USD $82,617.00 - USD $157,352.00 /Yr.

Job Description Bilingual Outreach Worker needed for our government client in Towson, MD. The Bilingual Outreach Worker will be traveling throughout Baltimore County to perform routine community outreach for health program with the goal of educating the public while increasing enrollment and participation. Six month contract position with possible extension. The non-negotiable pay rate is $19.00 per hour. Essential Duties: • Meet and make presentations to individuals, organizations and community groups to explain, publicize and promote the health program., • Represents the program at health fairs, community events, classes, seminars and other gathers., • Assists with displays., • Assembles and distributes literature, brochures, pamphlets and other related materials., • Promotes program participation by making telephone calls and direct contact in the community., • Develops and maintains resource lists., • Answers telephone inquires regarding the program and provides routine information to the public., • Assists clients submitting applications to the program., • Collects, tabulates, updates and maintain program records and statistics., • Assembles periodic statistical reports. Qualifications: • Experience working in an outreach or public health environment is required., • Must have own vehicle, good driving record and valid Driver's License., • Must speak fluent English and Spanish., • Must have good communication skills and be familiar with Microsoft Word and Excel., • Must be able to work from 8:00 am-4:00 pm Monday through Friday with a 30 minute non paid lunch. We offer weekly pay, health insurance, referral bonuses, a one time longevity bonus, holiday pay and a Roth 401K plan. Certain restrictions apply.

Overwhelmingly, people who decide they want to be a part of the Y in Central Maryland tell us they do so because it reflects their values and a conscious decision, they’ve made about how they choose to live their lives. The happiest and most fulfilled Y associates are those who are motivated to help others and who want to be a part of something larger than themselves. If this speaks to your heart, then we invite you to join our team. Be a part of a charitable, mission-driven organization that works for individual and community well-being for all, for a better us. At the Y in Central Maryland, we offer a comprehensive benefits package designed to support your well-being and professional growth. Enjoy flexible schedules, competitive pay, and generous paid time off, alongside medical, dental and vision benefits, as well as dependent care FSA. We offer a generous employer contribution to the Y retirement fund, and opportunities for career advancement. Our commitment to fostering a positive work environment means you'll have access to training and development programs that align with our mission to empower individuals and strengthen communities. Join us and bring your passion to a fulfilling career where you can truly make a difference! POSITION SUMMARY: Under the leadership of the Executive Director, the Associate Executive Director provides leadership and vision for center operations with specific leadership and supervision responsibility in the following areas: Membership, Philanthropy (including Volunteerism), Community Engagement and Stay and Play for a Y Family Center. This includes supervision of assigned associates; assist with facility accountability; recruitment and retention of members ensuring membership accountability, strategy, quality and equity through Open Doors; develops, plans and implements procedures and methods within Association guidelines to achieve sales and strategic goals for overall growth; oversee internal and external community engagement efforts; oversee Stay and Play operations and quality; oversee in-center marketing to ensure brand compliance; oversee the center’s philanthropy strategy, structure, fundraising execution, volunteer operations and development; oversee community outreach and engagement strategy; assists the Executive Director and the management team in development of member-focused culture and the delivery of above and beyond customer service to move members from casual to committed in their involvement at the Y in Central Maryland. Assure all Y in Central Maryland policies and procedures are implemented and executed according to established procedures. Serve as a role model for the center and in the community to establish positive relationships and collaborations with members, community organizations and local businesses. Participate as a core leader to assure fiscal responsibility and assist with financial development through fundraising and special events. At all times, represent the Y’s core values of caring, honesty, respect and responsibility. ESSENTIAL FUNCTIONS: • Effectively plans and executes strategies that support new member recruitment sales and philanthropy goals are met., • Creates a member-focused culture and models relationship-building skills (including Listen First) in all interactions. Implements strategies that support retention of existing members and participants. Fosters a climate of innovation and resolves problems to ensure member satisfaction., • Promotes program and membership enrollment in interactions with existing and potential members. Coordinates program registration, including logistics to support phone, walk-in and web registration. Coordinates with Association marketing efforts to maximize enrollments and provides ongoing support to Program Directors on related issues., • Recruits, hires, train, and develop associates and volunteers as needed. Reviews and evaluates associates’ performance., • Participates in the planning of the annual budget for membership, stay and play and philanthropy; manages and implements the approved budget for membership, stay and play and philanthropy and takes appropriate action to correct variances., • Ensures proper implementation of member service desk procedures. Reviews and updates procedures as necessary and communicates changes to associates., • Organizes membership events at the Y and represents the Y at community events to promote the Y and increase community engagement., • Assists in development of cooperative community relationships and partnerships., • Leads assigned aspects of the annual fund-raising campaign., • Create tools and strategies for marketing programs internally and in the community. Assure quality of materials for distribution and accuracy of information., • Serve as a leader and role model in assuring high standards for member service including facility cleanliness, program offerings and managing member concerns., • Maintain accurate records and statistics; prepare reports and presentations as needed., • Promote financial assistance program to ensure membership growth through an equity., • Performs all duties and functions of all indirect and direct reports in all areas of supervision., • Works closely with and follows the direction of the Executive Director to ensure standard delivery of the Association Membership, Stay and Play and Philanthropy Agendas., • Participates in and supports associate meetings and/or related meetings for membership and stay and play., • Adheres to all policies, guidelines, rules, best practices as outlined by the Y in Central Maryland or directed by supervisor., • Serves as lead supervisor at the Y Family Center in the absence of the Executive Director. QUALIFICATIONS: • Bachelor's degree in related field preferred or equivalent combination of education and experience., • Previous supervisory experience in sales and customer service preferred which would include three or more years’ experience in managing exempt personnel or equivalency preferred, • Supervision of a 4,000+ membership unit Y or equivalency preferred, • Supervision of budget exceeding $1.5M, • Demonstrated track record of generating leads and closing sales, • Demonstrated track record of developing and implementing results oriented retention and engagement strategies, • Strategic planning and tactical execution experience that resulted in achievement of goals, • Excellent personal computer skills and experience with standard business software, • Must be able to work flexible hours including evenings, weekends, and holidays, • Ability to relate effectively to diverse groups of people from all social and economic segments of the community All Y associates agree to abide by The Code of Conduct with Youth that sets clear expectations for associates and volunteers to ensure a safe and respectful environment for young people. It emphasizes treating youth with respect and fairness, avoiding inappropriate physical or verbal interactions, and adhering to established standards of affection. The policy strictly prohibits any form of abuse, bullying, or harassment and mandates the reporting of suspected mistreatment. Additionally, associates and volunteers must complete training on child abuse prevention and comply with legal reporting requirements to safeguard youth.

Job DescriptionAre you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research. Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn. As part of our Strategic Statistical Services Arm, this is a full-time role with emphasis on being an internal and external SME for clinical trial design, together with providing consultation to advise clients on a range of broader statistical issues, and will have an internal job title of Strategic Statistician. Job Description: Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We address the emerging analytics needs of the Industry with our biostatistics services, bespoke algorithms and unique, state of the art, proprietary, cloud-based trial simulation software KerusCloud. Working alongside innovative statisticians you will be responsible for leading the full life-cycle of KerusCloud support and statistical services, from: • Assisting customers with their study design with a particular focus on simulation with KerusCloud to ensure they are aligned with the study objectives., • Preparation of study protocols and development of Statistical Analysis Plans and Statistical Analysis Reports., • Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality., • Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables., • Maintain current knowledge of relevant research techniques such as modelling, simulation and experimental design and participate in continuous professional development activity., • Support pre-sales discussions to understand and identify client needs, then contribute to technical solutions and resource/ cost estimates., • Collaborate with the Product Development team defining key features and statistical aspects of KerusCloud., • Provide input and support to Marketing of KerusCloud, including demonstrations to clients, white papers, etc. Requirements: • Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred., • 5-7 years of experience in the application of medical statistics (pharma, CRO, academic)., • Willingness to engage with clients to understand and research problems and provide creative, business-orientated solutions., • Experience in delivering customer projects to high quality standards., • Experience in SAS and/ or R statistical software packages., • Experience in study design and protocol and report-writing preferred., • Experience of modelling and simulation techniques to explore complex study designs preferred., • Experience of Bayesian approaches to design and analysis of clinical data preferred., • Experience of early-phase drug development processes including innovative/ adaptive study design preferred. Powered by JazzHR XEcFi1EZ5n

Job Description Experienced Industrial Spray Painter Needed For Immediate Hire To Apply Coatings To Machinery/Equipment at Our Plant (Near BWI) Should have prior industrial spray painting or auto body spray experience Responsibilities: • We ensure that standards are met and may need to work directly with supervisors or engineers to resolve any production issues, • Mix paints to match specifications, stirring or thinning paints, and using spatulas or power mixing equipment, • Appropriately dispose of hazardous waste, • Remove grease, dirt, paint, or rust from vehicle surfaces in preparation for paint application, using abrasives, solvents, brushes, blowtorches, washing tanks, or sandblasters, • Monitor painting operations to identify flaws, such as blisters or streaks, and correct their causes, • Remove accessories from equipment and mask surfaces with tape or paper to protect them from paint as required, • Disassemble, clean, and reassemble sprayers or power equipment using solvents, wire brushes, and cloths, • Conduct 6S audits and safety walks, • Use machines, power and hand tools, including their designs, repair, and operator-level maintenance, • This equipment will include exhaust units, respirators, robotic paint equipment, cranes, and hoist equipment, • Lean Manufacturing - Knowledge of basic lean principles and techniques for optimizing processes and eliminating waste Qualifications: • Knowledge of arithmetic, algebra, geometry, statistics, and their applications, • Knowledge of environmental health and safety regulations and procedures, • Knowledge of product, quality standards, and assembly procedures, • Basic knowledge of computer software applications, • Knowledge of raw materials, production processes, quality control, costs, and other techniques for improving the effective manufacture and distribution of goods, • HS diploma or equivalent required, • Must be able to pass a basic painting skills test successfully, • Day shift operations Signing Bonus after 90 days of successful employment with this position. $1000.00 Monthly Production Bonus System Company DescriptionNovatec, Inc. has been a leader in drying, conveying, and material handling systems for the processing industries for over 75 years. NO PHONE CALLS DURING INITIAL APPLICATION PROCESS PLEASE. SCREENING IS FROM YOUR ZIPRECRUITER RESUME. Candidates will be contacted directly.Novatec, Inc. has been a leader in drying, conveying, and material handling systems for the processing industries for over 75 years. \r\n\r\nNO PHONE CALLS DURING INITIAL APPLICATION PROCESS PLEASE. SCREENING IS FROM YOUR ZIPRECRUITER RESUME. Candidates will be contacted directly.

Job Description Pay: $80,000.00 - $100,000.00 per year Job description: We're looking for a Executive Campus Director of Admissions to join our team! The Executive Campus Director of Admissions is responsible for oversight of all campus operations including but not limited to: education, admissions, financial aid, student accounting, student services, career services, clinic, facilities and administration. ADMINISTRATIVE DUTIES AND RESPONSIBILITIES • Manages all campus employees to established performance standards and achievement of departmental goals and objectives., • Maintains employee files and employee documentation according to policy and procedure., • Provides and oversees all employee counseling, coaching, training and termination. Works as a liaison with HR to ensure appropriate approvals have been obtained and paperwork is complete and compliant., • Prepares campus weekly statistics and goals and attends weekly corporate calls for Admissions and Education., • Conducts weekly staff meetings, managers meetings and other departmental meetings and trainings as necessary., • Works with Corporate Directors to formulate departmental plans of actions to meet standards which have fallenbelow company benchmarks/ goals., • Responsible for knowledge, staff training and adherence to all company established policies and procedures., • Responsible for knowledge of and adherence to the Employee handbook., • Responsible for standards of accreditation being maintained., • Responsible to ensure that all local state and city rules and regulations are followed, and the campus has all appropriate and valid licenses, certifications etc., • Responsible to monitor and manage to the campus P&L., • Ensures campus Bad Debt is kept to an acceptable level and strategizes with all departments to impact., • Ensures student accounts/balances are collected upon at the established intervals per individual student contracts/arrangements., • Responsible for the oversight and function of the admissions department., • Responsible for the management of all education management; administrative staff and faculty., • Ensures staff and faculty have appropriate qualifications and maintain appropriate licensure per job description., • Monitors all campus reporting as provided by corporate team. Reports any discrepancy or errors up-line to ensure accurate reporting., • Works with management, administrative staff and faculty to meet company goals for student retention, timely matriculation and completion., • Monitor daily, weekly and term student attendance., • Monitor daily, weekly and term student satisfactory academic progress., • Responsible to ensure students/ graduates obtain state licensure before or immediately upon graduation from their program., • Maintains impeccable facility., • Schedules repairs and maintenance of building, equipment and supplies., • Ensures all licenses for the city and state are kept active. Yearly inspections are performed, and all certificates are posted and archived appropriately., • Other duties as assigned. KNOWLEDGE, SKILLS AND ABILITIES • Bachelor’s degree (BA) from a four-year college or university preferred., • One to three years related experience and/or training or equivalent combination of education and experience., • Prior experience with for-profit institutions., • Strong administrative skills., • Detail oriented with the ability to multi-task., • Can function in a variety of situations and under pressure., • Strong customer service skills., • Excellent interpersonal skills., • Computer literate; knowledge of Microsoft Office. MINIMUM QUALIFICATIONS • Ability to effectively communicate information, ideas, concepts, rules, regulations, policies and procedures when speaking and writing., • Ability to write routine reports and correspondence and able to speak effectively before groups of people., • Ability to read and interpret documents such as compliance information from accreditation agencies, policies, operating and maintenance instructions and procedure manuals., • Knowledgeable of catalog and programs., • Familiar with standards and regulations of NACCAS,, • Familiar with regulations of U.S. Department of Education., • Ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions and decimals., • Ability to compute ratios and percentages, as well as ability to calculate and manage budgets., • Ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form. APPLY TODAY and make an impact on the lives of students! Job Type: Full-time Benefits: • 401(k) matching, • Dental insurance, • Employee discount, • Health insurance, • Life insurance, • Paid time off, • Vision insurance Work Location: In person Company DescriptionCortiva Institute is a leading national provider of holistic health and wellness education, specializing in massage therapy and skin care. With a network of campuses across the United States, the institute is dedicated to delivering a comprehensive, hands-on learning experience that bridges the gap between academic instruction and professional practice.Cortiva Institute is a leading national provider of holistic health and wellness education, specializing in massage therapy and skin care. With a network of campuses across the United States, the institute is dedicated to delivering a comprehensive, hands-on learning experience that bridges the gap between academic instruction and professional practice.

Job DescriptionDescription: • As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project., • Leverage Python as a primary language to process data to accurately determine if resources and systems are secure, • Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle., • Identify which System a Resource belongs to determined by various attributes of the identified lost Resource against known potential System information., • Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments., • Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision-making. Required: • Active and current TS.SCI w FSP through MD, • Background in statistical analysis, • Experience with building, tuning, and testing predictive models, • Experience creating analytic charts and dashboardsDesired:, • Elasticsearch, • RegEx, • Machine learning, • Natural Language Processing, • Regression and predictive analysis, • Python, • MATLAB or R, • SQL or Mongodb, • Metric Database (Grafana/Graphite/InfluxDB) Education: • Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)., • Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB., • An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. Powered by JazzHR uaNpTha98h

Job Description Salary: $105,000-$125,000 Other Forms of Compensation: Pay Grade: 15 Crothall Healthcare, a Compass Healthcare company, provides specialized, high-quality, innovative, and responsive support services exclusively to the healthcare industry. Crothall serves many of the Top 100 Hospitals throughout its over 900 hospital partners across 46 states. Crothall has been recognized as one of Modern Healthcare’s Best Places to Work and Best Places to Work in Pennsylvania since 2013. Crothall has more than 32,000 team members, with core services include: Environmental Services, Patient Transportation, Patient Observation, Healthcare Facilities Management, Sterile Processing Services, and Ambulatory EVS. Learn more at www.Crothall.com. Job Summary * $10,000 Sign On Bonus! * Job Summary: Working as an EVS Director II, you are responsible for directing and overseeing the operational needs of the Housekeeping Department. You will coordinate the tasks of the Assistant Directors and Operations Managers. You will serve as a liaison between administration and hospital departments. Key Responsibilities: • Responsible for department’s financial data and statistics, • Monitoring of unit expenditures, • Develops and recommends department operating budget and ensure the department operates within budget, • Coordinates housekeeping activities with other departments, • Actively communicates with administration and other hospital departments, • Plans, organizes, directs, coordinates, and supervises functions and activities of the department, • Establishes work standards and work flow, • Establishes and implements policies and procedures for departmental operations, • Encourages and mentors staff creativity and innovation, • Ensures compliance with all regulatory agencies, • Proactive in the achievement of the facility goals and objectives, • Demonstrates quality leadership in meeting performance plans, • Reads, develops, and administers Total Quality Management process, • Develops and maintains job descriptions for department staff, • Encourages staff to participate in education programs Preferred Qualifications: • Four year college degree and equal related experience required, • Six years of housekeeping management experience at a healthcare account required, • Must have the ability to analyze and interpret financial and other data, • General business acumen, • Excellent interpersonal skills, • High customer service and quality attitude, • Ability to work under pressure and meet established goals and objectives, • Public speaking skills, • Ability to utilize a participative approach to managing staff, to organize and prioritize tasks, and to develop budgets with a complete understanding of facility needs and requirements, • Excellent stress management skills, administrative and organizational, and follow-through (with associates and clients) skills required, • Proficient in the use of Windows based office software including but not limited to Microsoft Office, Word, Excel, PowerPoint and Outlook Apply to Crothall today! Crothall is a member of Compass Group USA Click here to Learn More about the Compass Story Associates at Crothall are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Flexible Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave, • Personal Leave Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here or copy/paste the link below for paid time off benefits information. https://www.compass-usa.com/wp-content/uploads/2023/08/2023WageTransparencyCrothall.pdf Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. We encourage applicants with a criminal history (and driving history) to apply. Applications are accepted on an ongoing basis. Crothall maintains a drug-free workplace. Req ID: 1508355 Crothall Healthcare RANDY ERPELDING [[req_classification]]

Job DescriptionBenefits: • 401(k), • Competitive salary, • Opportunity for advancement, • Paid time off Why Join T12 Technologies? T12 Technologies LLC is a professional development company prioritizing employee growth by providing continuous education, training, and career advancement opportunities. We cultivate a supportive environment that fosters a collaborative work culture, allowing employees to contribute ideas and engage in impactful projects. By joining our team, youll be part of an initiative dedicated to delivering high-quality services and support, making a meaningful difference in public safety and international security efforts. Overview T12 Technologies is seeking a skilled Design, Monitoring & Evaluation (DM&E) Specialist to support End-Use Monitoring (EUM) operations in Ukraine under a contract with the U.S. Department of States Bureau of International Narcotics and Law Enforcement Affairs (INL). This key personnel position is responsible for designing and implementing data collection frameworks, conducting asset utilization assessments, ensuring data quality and integrity, and preparing analytical reports that evaluate the effectiveness of U.S.-funded equipment transfers to the Government of Ukraine (GoU). The DM&E Specialist will work closely with the Program Operations Manager, INL Kyiv, and GoU counterparts to support a monitoring program covering up to 500 sites across 24 oblasts. Key Responsibilities Monitoring & Evaluation Design Design, develop, and implement comprehensive monitoring and evaluation frameworks aligned with INL EUM requirements and U.S. Department of State policies. Design and implement surveys and other data collection methods to assess the utilization of EUM assets and evaluate the extent to which transferred items have saved lives and advanced U.S. foreign policy objectives. Develop standardized inspection tools, data collection instruments, and survey methodologies in coordination with INL Kyiv. Establish quality benchmarks and performance indicators to measure compliance and program effectiveness across all monitored assets. EUM Inspections & Data Collection Conduct on-site, secondary, and virtual EUM inspections of designated assets in accordance with INL Kyivs approved methodologies. Verify the physical condition, usage status, and storage compliance of designated assets across GoU facilities throughout Ukraine. Collect photographic evidence and relevant data for all items subject to secondary inspections when on-site verification is not possible. Collect data on the end-use of defense articles, 600 series, and dual-use assets to ensure they are being used as intended and not diverted to unauthorized users. Conduct asset management and inventory tracking on 100% of EUM assets and report any suspected violations to INL Kyiv. Support receipt, tagging, documentation, and data entry processes at asset transfer and handover events as required. Data Analysis & Reporting Analyze collected data to identify patterns of use, potential compliance issues, and year-on-year trends in asset management and inventory tracking. Prepare consolidated inspection and survey reports summarizing monitoring visits, findings, and assessments in formats and timelines established by INL Kyiv. Maintain and update the designated tracking tables and electronic records within a shared folder accessible to INL Kyiv at all times. Prepare monthly EUM inspection reports, including significant activities, evaluation of progress, challenges, corrective action plans, end-user feedback, and proposed timelines for the next reporting period. Contribute to the annual report submitted no later than December 1, including LDDT item details, key trend analysis, and relevant anecdotes and photos on EUM program impact. Submit Serious Incident Reports within 48 hours for any activity with significant programmatic impact. Records Management & Information Security Maintain accurate EUM data in electronic format within the designated shared folder, ensuring data is readily accessible to INL Kyiv at all times. Collect, consolidate, and maintain accurate inspection records, including serial numbers, barcodes, photos, and supporting documentation. Safeguard all sensitive data pertaining to assets, inspections, facility locations, and recipient entities in accordance with applicable U.S. laws and regulations. Ensure data is housed on Microsoft 365 servers compliant with NIST standards; maintain secure copies on multiple servers to safeguard against data loss or corruption. Qualifications Education Bachelors Degree in Monitoring & Evaluation, International Development, Social Sciences, Statistics, Public Policy, or a related field. Masters Degree in a relevant field is preferred. Experience Minimum 35 years of professional experience in monitoring and evaluation, preferably on U.S. Government-funded programs. Demonstrated experience designing and implementing M&E frameworks, surveys, and data collection tools. Experience conducting field inspections, asset verification, or property accountability activities. Prior experience working with or alongside Ukrainian security institutions (Ministry of Interior, National Police of Ukraine, State Border Guard Service, or National Guard of Ukraine) is strongly preferred. Familiarity with INL programs or similar U.S. Government international assistance programs is a plus. Skills & Competencies Strong analytical and data interpretation skills with proficiency in quantitative and qualitative data collection methods. Excellent attention to detail and accuracy in documentation and recordkeeping. Proficient in Microsoft Office Suite and Microsoft 365; experience with asset tracking or database tools preferred. Strong written and verbal communication skills in English; fluency in Ukrainian is required for Ukrainian national candidates. Cultural sensitivity, local expertise, and adaptability to effectively perform EUM activities in both war and post-war contexts. Ability to travel throughout all 24 oblasts of Ukraine without restriction as security conditions permit. Preferred Qualifications Experience with EUM or asset accountability on U.S. State Department or INL-funded programs. Familiarity with FAR provisions related to government-funded international programs. Training or certification in monitoring and evaluation methodologies (e.g., AEA, USAID M&E frameworks). Working Conditions Field-based with travel throughout all 24 oblasts of Ukraine, including remote, rural, and conflict-adjacent areas. Must comply with Ukrainian air alert guidance and curfew restrictions at all times. Contractor is solely responsible for assessing and managing personal security during field operations. Must be physically and medically fit for field travel, including appropriate health precautions and immunizations. Equal Opportunity Employer T12 Technologies, LLC is committed to creating a diverse and inclusive environment. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description The APWU Health Plan, a non-profit organization located in Elkridge, MD, is seeking an AI Data Business Analyst to join our Information Technology Division. The AI Data Business Analyst plays a critical role in translating business needs into data driven, AI enabled solutions that will drive strategic decisions across the APWU Health Plan. Primary Accountabilities: Business & Data Analysis • Partner with business stakeholders to understand operational challenges and translate them into clear data and analytics requirements., • Analyze large, complex datasets to identify trends, risks, and improvement opportunities., • Develop business cases and ROI narratives for analytics and AI initiatives that improve efficiency, reduce errors, or enhance member experience. AI & Advanced Analytics Enablement • Collaborate with IT to produce analysis dashboards, to create visualizations for the organization., • Support the design, testing, and deployment of machine learning and AI enabled use cases for approved initiatives., • Assist in monitoring models post deployment, identifying data quality issues, bias risks, or performance drift. Governance, Compliance & Risk Awareness • Adhere to APWUHP Compliance requirements related to data handling and reporting requirements., • Document data sources, logic, assumptions, and limitations to support audits, transparency, and explainability., • Participate in responsible AI and data governance processes, ensuring ethical use of analytics across the organization. Coordinate with IT Team Leads in conjunction with the IT Project Manager, to align with organization priorities. Work with external vendors to develop and maintain approved solutions. Scope business functional enhancement projects and validate recommended solutions to the organization. Complete other duties as assigned. Qualifications: Bachelor’s degree in business Analytics, Data Science, Information Systems, Statistics, Computer Science, or a related discipline, or equivalent practical experience. 5+ years of experience in data analysis, business analysis, or analytics roles, preferably in healthcare, insurance, or other regulated environments. Hands‑on experience working with structured datasets and analytical tools to support business decision‑making. Experience collaborating with cross‑functional teams, including IT, compliance, and operations. Excellent technical and analytical skills, as well as exceptional verbal and written communication skills. Ability to render and write business requirements such as technical documentation and business decision documentation. Proficiency in requirements gathering - effectively translating business needs as expressed by users into workable specs, estimating time duration to complete and implement the solution. Strong SQL and data analysis skills; experience with BI and visualization tools. Familiarity with machine learning or AI concepts (predictive modeling, NLP, automation), with emphasis on business application rather than model development. Ability to clearly communicate insights, risks, and recommendations to non‑technical audiences. Experience with healthcare claims, enrollment systems, or payer data preferred. Exposure to model governance, audit support, or regulatory reporting preferred. Experience supporting analytics during high volume periods such as Open Season preferred.

Job DescriptionSeeking a Senior Data Scientist (NLP) to join our team in Woodlawn, MD supporting a large federal agency. This role requires deep expertise in Natural Language Processing (NLP) and Generative AI. In this role, you will bridge the gap between complex algorithmic research and scalable production systems. You will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams. *This is a permanent role expected to be onsite 5 days a week. Primary Responsibilities: Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs. Query and analyze complex transactional data using SQL. Understand real world challenges and develop automated data solutions. Develop, test, and deploy new techniques for NLP understanding. Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models). Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution. Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem. Collaborate with data collectors and analysts to identify and close gaps in complex monitoring problems. Provide accurate, timely, complex, and sophisticated data analysis. Train and optimize NLP/LLM models and create Python based pipelines. Build cloud native solutions on AWS. Minimum Qualifications: Ability to obtain and maintain an SSA Public Trust clearance is required. Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience. Bachelors degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering. Experience with Generative AI and Large Language Models (LLMs) Experience with ML model deployment and operations like DevOps, MLOps, LLMOps. Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. Fluent in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and AWS EC2. Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow). Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models. Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files. Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.). Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks. Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership. Excellent analytical skills to identify potential risks and propose effective solutions. Ability to clean and process large amounts of real-world data. Desired Qualifications: Prior experience delivering IT projects within federal or state government sectors is highly preferred. Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive). Experience in parallel processing such as GPU programming with CUDA. Experience with Natural Language Processing for anomaly detection. Experience using markup languages such as LaTeX, HTML, etc. Experience with Mathematica.

Job Description Position Title: Assessment Data Management & Analytics Specialist Salary: $60,000-$70,000/annually Reports to: Dean, School of Nursing Position Summary The Assessment Data Management & Analytics Specialist supports the School of Nursing's centralized assessment and student success infrastructure by managing assessment data systems and producing actionable analytics. Reporting to the director, Center for Outcomes, Measurement, Practice Assessment, and Student Success, this position ensures accurate data integration, timely reporting, and accessible analytics that support continuous quality improvement, accreditation compliance, and data-informed decision-making. Position Impact This role strengthens the School's ability to leverage assessment and student performance data to improve progression, retention, and completion outcomes while reducing faculty administrative burden and enhancing accreditation readiness across all nursing programs. Primary Responsibilities • Manage assessment data within Insights for Campus Outcomes (eLumen), including competency mapping, rubric configuration, data validation, and report generation., • Develop and maintain interactive dashboards and visual analytic tools (e.g., Tableau, Power BI, or equivalent) tracking enrollment, progression, retention, graduation, NCLEX outcomes, and competency attainment., • Integrate data from eLumen, the learning management system, student information systems, and institutional datasets., • Ensure data accuracy, consistency, security, and compliance with institutional data governance standards., • Produce routine and ad hoc reports supporting program review, accreditation, and grant reporting., • Support development of early-alert indicators and performance monitoring tools in collaboration with the director and student success partners. 11 Provide technical guidance and training for faculty and staff on assessment reports and dashboards. • Document data definitions, work: flows, and reporting processes to support sustainability. Credentials and Experience • Earned bachelor's or master's degree in data analytics, information systems, education, assessment, nursing, or a related field,, • Minimum of three years of experience in higher education data management, assessment analytics, institutional research, or a related area., • Experience working with assessment or student data systems (e.g., eLumen 01· comparable platforms)., • Proficiency with data visualization and analytics tools (e.g., Tableau, Power BI, or similar)., • Demonstrated ability to integrate data across systems and produce standardized, reliable reports. School of Nursing Position Ad Assessment Data Management & Analytics Specialist The School of Nursing at Notre Dame of Maryland University seeks an Assessment Data Management & Analytics Specialist to support assessment, accreditation, competency-based education, and student success initiatives across undergraduate and graduate nursing programs. Reporting to the Director of the Center for Outcomes, Measurement, Practice Assessment, and Student Success (COMPASS), this position plays a key role in developing and maintaining assessment data systems, generating dashboards and reports, and supporting data-informed decision-making. The specialist will collaborate with faculty and administrators to collect, analyze, and communicate student learning, program outcome, and accreditation data that support continuous quality improvement and regulatory compliance. This position offers an opportunity to contribute to the implementation of innovative assessment and analytics systems designed to enhance student success, monitor competency development, and support accreditation reporting. This is a full-time, 12-month position with a salary range of $60,000-$70,000, commensurate with qualifications and experience. The anticipated start date is late July 2026. About the School of Nursing The School of Nursing at Notre Dame of Maryland University is committed to academic excellence, caring science, and service to diverse communities. The School is known for preparing nurses who lead with knowledge, compassion, and authentic presence. Advocacy, collaborative partnerships, and the development of trusting relationships are foundational values of the School. Inspired by the longstanding commitment of the School Sisters of Notre Dame to serving the underserved, the School of Nursing works to improve the health of vulnerable populations throughout the Baltimore metropolitan region through education, outreach, and service. Qualifications Required • Bachelor's degree in data analytics, information systems, education, nursing, public health, statistics, or a related field., • Experience managing and analyzing data in higher education, healthcare, assessment, institutional research, or a related setting., • Experience using data visualization and reporting tools., • Strong analytical, organizational, and communication skills., • Proficiency with Microsoft Excel and database management systems.Preferred, • Experience with assessment management systems, learning management systems, or accreditation reporting., • Experience developing dashboards and data visualizations using tools such as Tableau, Power BI, or similar platforms., • Familiarity with competency-based education, student success initiatives, or nursing education assessment. Non-Discrimination Policy: • Notre Dame of Maryland University does not discriminate in its educational programs, activities or employment based on race, color, national and ethnic origin, religion, sex, disability or age. The following person has been designated to handle inquiries regarding the non-discrimination policy: Vice President for Student Life, Notre Dame of Maryland University, 4701 North Charles Street, Baltimore, MD 21210, 410-532-5308. For all other employment inquiries, please contact Human Resources at 410-532-5898 or human resources@ndm.edu., • Notre Dame of Maryland University is an EEO/AA employer.

Job DescriptionDescription: At CyberMaxx, we believe it is our duty to defend against those committed to wide-scale societal disruption through cyberattacks. We help our customers reduce risk by tightly integrating MDR with offensive security, threat hunting, security research, and digital forensics and incident response (DFIR) to continually adapt to new and evolving threats. Our modern MDR (Managed Detection & Response) approach is tailored to the unique characteristics and risk factors of each customer, enabling us to take full ownership of the response process and, optionally, manage key security controls. By thinking like an adversary and defending like a guardian, we help our customers stay a step ahead of threat actors. At CyberMaxx, we value humility, transparency, intellectual curiosity, and a customer first approach. We seek to hire a Senior Python Developer who will be responsible for designing and building novel tools in the cybersecurity SOAR and SIEM space, utilized by our clients and security analysts to detect and mitigate real security threats every day. As a cybersecurity company, we work with large and complex datasets, that require efficient and effective algorithms to detect anomalies in those datasets, as well as correlate and present those detections as actionable information to our team of security analysts. Experience with data science / engineering is expected, and experience with ML and AI in TensorFlow / Keras is a plus. Additionally, we have numerous internal and external toolsets for every sector of our business. You will be expected to build and maintain Django APIs, as well as backend application support for these toolsets, including database integration in MySQL, and new tools as required. As an innovative startup in the cybersecurity sector, we pride ourselves in developing in-house solutions, bespoke to our needs. This opens the door to greater flexibility and creativity in both functionality and design. Our ideal candidate is someone who takes genuine pride in their work and appreciates being able to take an idea and shape it according to their vision. What You Will Do: • Work with development team and other department leads to outline scopes of and design new toolsets, • Create intelligible plans for how tools will be implemented, including documentation and diagrams as necessary, to aid in team collaboration, • Refine plans to meet team requirements and implement them into functional, structured, and efficient applications, • Identify inefficiencies and counterintuitive elements of current toolsets and offer practical solutions, • Implement redesigns of existing toolsets to improve performance, compatibility, stability, and/or implement additional features, • Complete and review documentation for projects or any operational effort, • Provide system performance monitoring and troubleshooting, • Maintain current knowledge of relevant technology as assigned, • Other activities as assigned What We Are Looking For: • 5+ years experience with Python3, • 2+ years experience with MySQL or comparable SQL DBMS, • Proficiency with RESTful APIs, including integrations with Python's "requests" library, • 1+ year of experience with Data Science / Engineering / Statistics, • Experience with Django is a plus Qualifications: • Education: Completion of a Bachelor's or higher post-graduate degree in Computer Science, Information Technology, or equivalent relevant field., • Experience: Minimum 5 years of experience in professional python development positions, with an understanding of security best practices., • Technical Skills: Proficiency in Python 3, strong experience with RESTful APIs and SQL (MySQL preferred), and a strong foundation in Data Science., • Certifications: Relevant certifications in development, DevOps and Agile methodologies, or security are a plus., • Portfolio: Applicants with portfolios and/or Git repositories will be considered first. Some Of What We Offer • Flexible Paid Time Off, • 401k with a company match, • Medical, Dental and Vision Coverage, • Voluntary Short Term and Long-Term Disability, • Employee Assistance Program with Mental Health Supplement, • Voluntary Basic, Accidental, and other ancillary life insurance, • Health Savings Account Contribution (with selection of a HDHP), • 10 annual, paid holidays CyberMaxx will consider all qualified applicants without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, disability, veteran or military status, age, genetic information, or other characteristics protected by federal, state, or local applicable law. Requirements:

Job DescriptionSimply Put, A Great Place to Work Benesch is a growing, multi-disciplined planning, engineering, and professional services firm. We enhance infrastructure and communities across the country – creating spaces and providing connections in ways that make a difference. We pride ourselves on being nimble enough to remain responsive to client needs yet large enough to offer exceptional bench strength. As a member of our team, you'll have an opportunity to draw from those resources when you need them and, likewise, contribute your expertise when you have something to share. At Benesch, we are looking for candidates with varied backgrounds and worldviews. We are committed to offering an inclusive work environment where everyone feels valued and respected. Statistics show that women and underrepresented groups are less likely to apply for a position if they don't meet 100% of the qualifications. If this statement resonates with you, don't be so hard on yourself—apply for the job! Transit Ambassador Work with Benesch! Our partner is seeking people to work on an on-call basis in the Baltimore area as Transit Ambassadors and make a positive impact on the community and the Maryland Transit Administration (MTA). This is a great opportunity for someone who is looking for temporary employment to supplement their income when work is available. *This position works for a third-party contractor and does not include benefits. The successful candidate should have advanced knowledge of public transportation in the city, including Bus, Light Rail and Metro. Transit Ambassadors are trained to assist MTA customers with disabilities to ensure that all clients are able to equally utilize the transit facilities. They will be asked to provide assistance such as directing customers as they enter or exit stations, board vehicles, or use fare vending machines. All Transit Ambassadors are trained to inspect the transit station facilities and take action to preserve the cleanliness and safety of all public areas. Another key responsibility is to provide customer service support with bus bridges/shuttles while construction is being done to the transit tracks or stations and during road construction resulting in bus detours. Pay rate - $17.53/ hour What You Will Need • 18 yrs. or older, with a high school diploma or GED equivalent, • Must own a working cell phone with WiFi/data capability, • Must be able to stand for 4 hours minimum and maximum up to 8-12 hours (based on applicant's ability), • Competence at using apps and willingness to get familiar with the Transit App is key in providing customer support during special events, • Must have good customer service skills - ready to interact with the public and provide a positive experience as the face of the company The expected compensation range for this position is displayed in accordance with the Maryland Pay Transparency Law. The final agreed-upon compensation is based on numerous factors, including but not limited to individual education, qualifications, prior work experience, and geographic location. The total annual compensation package will consist of a base salary, overtime, and bonuses. Benefits Our benefits package is designed to take care of our employees. Benesch offers a generous paid time benefits plan that increases throughout your career, plus several paid holidays. Our benefits include medical, dental, and vision benefits. We also include company-paid life insurance, short term, and long-term disability plans. Benesch offers a 401K plan and profit-sharing contributions to the 401K plan. From insurance and retirement plans to our wellness programs, we provide employee benefits that meet your wants and needs. Maryland Pay Transparency Law$17—$18 USDWhy Benesch It's simple. We invest in our people, not just our projects. • Career growth that's real with leadership development, training, and clear paths forward, • Strong financial future with up to 9% retirement contribution for benefit-eligible employees, • Flexibility that works with schedules that support your life, • Time to recharge with generous paid time off and parental leave for benefit-eligible employees, • Support beyond work through mentorship, hands-on experience, and opportunities to make an impact from day one Whether you're starting your career or bringing years of experience, you'll have the support and exposure to grow here. Explore our full benefits here: Click here Equal Opportunity & Accessibility At Benesch, we believe great work starts with great people and that means creating a workplace where everyone has the opportunity to succeed. Benesch is firmly committed to Equal Employment Opportunity (EEO) and prohibits employment discrimination for employees and applicants in all protected groups, including veterans and individuals with disabilities, or other status protected by federal, state, and local laws. Benesch is committed to working with and providing reasonable accommodation to applicants with a physical disability or other impairment. If you are limited in your ability or are unable to access Benesch's Careers website due to a physical disability or other impairment, you may request a reasonable accommodation by emailing TalentAcquisition@benesch.com. This option is only available to those in need of an accommodation due to a disability or other impairment. Please do not use this as an alternative method for general inquiries or status on applications, as you will not receive a response. Reasonable requests will be responded to as soon as possible on a case-by-case basis. If you are based in California, we encourage you to read this important information for California residents linked here. Know your Rights: Workplace Discrimination is Illegal We will be accepting applications on an ongoing basis until a candidate is found. External Recruiters and Staffing Agencies Benesch shall have no obligation to compensate any external recruiter or search firm for candidate submissions made without a valid, current, and fully executed agreement. Submission of candidate information does not establish entitlement to a fee. All recruiting activity must be coordinated and authorized through the Benesch Talent Acquisition team. Please direct all communications to TalentAcquisition@Benesch.com

Job Description Job Description: We are seeking a highly motivated Test Engineer to lead the automation testing efforts for our Graphical User Interface (GUI). In this role, you will be responsible for designing, developing, and maintaining automated test frameworks using Selenium and Robot Framework, while also contributing to manual testing and early-stage UI development support. Key Responsibilities: Lead the design and implementation of automated GUI test cases using Selenium and Robot Framework. Perform both manual and automated testing for bug verification, upgrades, new feature implementation, deprecations, and system tasks. Collaborate with development teams to support early UI development, including implementing and validating code fixes. Work across a multi-language tech stack involving Java, Python, and C++, ensuring test coverage for cross-platform interactions. Develop and execute tests in a Red Hat Linux (CentOS) environment with integration and validation on Windows-based systems. Document test results and ensure traceability of requirements and defects. Participate in test planning, design reviews, and sprint retrospectives to improve testing processes and software quality. Qualifications: • Eight (8) years’ experience as a TE in programs and contracts of similar scope, type and complexity is required. Bachelor’s degree in Math, Science, Engineering, Statistics, Engineering Management or related discipline from an accredited college or university is required. Four (4) years of additional TE experience may be substituted for a bachelor’s degree Proven experience with Selenium and Robot Framework for test automation. Strong understanding of UI testing methodologies, frameworks, and best practices. Experience testing in environments using Java, Python, and C++. Familiarity with Linux (Red Hat/CentOS) and Windows interoperability. Ability to debug issues across different systems and communicate findings effectively. Strong analytical skills, attention to detail, and a proactive approach to problem-solving. Excellent collaboration and communication skills in a cross-functional team environment. Preferred Qualifications: Experience with version control systems such as Git. Working knowledge of CI/CD pipelines and automation integration (e.g., Jenkins). Familiar with Agile software practices Experience Required: Required Skills/Qualifications: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required. Peterson Technologies provides for an excellent benefit package to include generous PTO, healthcare, STD, LTD, Life Insurance, 401k contribution and Tuition and Training reimbursement. Salary range depending on experience - $145,000 - $180,0000 Peterson Technologies will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to HR at jobs@ptech-llc.com or call. Powered by JazzHR zXRCQRLOSF

A Day in the Life of the Direct Sales Representative- Residential: Obtain new customers in a residential environment through professional, face-to-face interaction with residents, property management groups, and other referral sources Aggressively pursue any leads provided daily Understand every unique element of assigned properties within portfolio Distribute marketing material, facilitate strategic marketing campaigns, build Astound brand awareness Review and understand property contract language, service levels, restrictions, and obligations Understand customer needs and articulate solutions Attend mandatory sales meetings Report sales statistics accurately and promptly to management Stay up to date with what the competition is doing in your market Other duties as assigned What You Bring to the Table: Ability to work in a fast-paced challenging environment Enjoys working outdoors "on the hunt" since 90% of all work is in the field Excellent communications, relationship building, organizational, presentation and influence skills You have a positive, creative and persuasive personality Must be a motivated, self-starter and comfortable with working autonomously Must be detail oriented and has highly developed organizational and time management skills You are sales-quota driven Must have valid driver's license and reliable transportation Visit potential customers at their residences to discuss service needs, providing quotes and sign-up orders. Other duties as assigned. This is a face-to-face and door-to-door position. It’s not easy for everyone, however, the base salary and uncapped commission compensation is designed for excellent earnings potential. We provide flexible scheduling Adjusted Quota during your ramp-up period. Protected Territory with excellent training/mentoring Education and Certifications: • High school diploma or equivalent, • We provide flexible scheduling, • Adjusted Quota during your ramp-up period., • Protected Territory with excellent training/mentoring We're Proud to Offer a Comprehensive Benefits Package Including: 401k retirement plan, with employer match Insurance options including: medical, dental, vision, life and STD insurance Paid Time Off/Vacation: Starting at 80 hours per year, and increases based on tenure with the organization Floating Holiday: 40 hours per year Paid Holidays: 7 days per year Paid Sick Leave: Astound allows a number of paid sick hours per calendar year and varies based on state and/or local laws Tuition reimbursement program Employee discount program *Benefits listed above are for regular full-time position Base Salary: The base salary range in Maryland, MD for this position is $38,778.69 (annually), plus opportunities for bonus, benefits and commission, if applicable. The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities. It is specific to PA and may not be applicable to other locations. Commissions at plan: Targeted commissions at full attainment are thirty-two thousand annually. Our sales total compensation offers the potential for significant upside above targeted earnings for those who overachieve their sales target Our Mission Statement: • Take care of our customers, • Take care of each other, • Do what we say we are going to do, • Have fun Astound is proud to be an Equal Opportunity Employer, and we are dedicated to cultivating an inclusive workplace where employees feel valued, respected, and empowered. Discrimination of any kind has no place here. We are committed to providing equal opportunities for all employees and applicants, regardless of race, color, religion, sex, gender, pregnancy, childbirth and related conditions, national origin, age, physical and mental disability, marital status, sexual orientation, genetic information, military or veteran status, citizenship, or other status or characteristic protected by applicable law. We strive to create a culture that celebrates our differences and promotes fairness and inclusivity in all aspects of our business. About Astound: Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology. We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping organizations thrive in an increasingly connected world. At the forefront of digital transformation, we continuously evolve our offerings to meet the dynamic needs of our customers—delivering reliable connectivity and groundbreaking digital experiences. Our commitment to excellence extends beyond infrastructure. We invest in our people through personalized training, coaching, and a supportive work environment that fosters growth and opportunity. Employees are empowered to represent a superior telecommunications company while making a meaningful impact in the communities we serve. We offer a robust benefits package that includes rewards, recognition programs, and employee discounts—ensuring our team members are supported in both their professional and personal journeys. At Astound, we believe in creating astounding possibilities for everyone, everywhere.

Job DescriptionGroup and Job Profile Guidance: The Joint Test & Evaluation (JT&E) program considers emerging technologies and the increasingly complex and dynamic joint, multi-domain operational environment to develop non-material solutions intended to enhance the United States’ operational effectiveness, suitability, and survivability in combat. Primary Job Functions: As a member of the Joint Test & Evaluation Support Cell (JTSC) this individual will support the programmatic evaluation and analysis of Combatant Command Test Nominations and subsequent approved execution. -Conduct quantitative and qualitative analysis to support Joint Test & Evaluation (JT&E) projects and enhance operational decision-making.•Apply statistical methods, modeling & simulation techniques, and operations research methodologies to assess joint military operations and improve mission effectiveness.•Develop and implement data-driven solutions to optimize military operations, force readiness, and strategic planning.•Utilize computer-based analytical tools to evaluate operational performance and identify areas for improvement.•Identify risks, limitations, and operational challenges in joint military environments and recommend analytical solutions.•Applying process modeling and analytical techniques to identify operational challenges and develop effective solutions.•Conducting problem decomposition, concept development, and data-driven analysis to support joint military operations.•Providing parametric and non-parametric statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and survey test and evaluation methods. Qualifications and Experience:•Master's Degree in Operations Research, Mathematics, Statistics, Engineering, or a related technical field.•A Master's Degree in a non-technical field may be substituted with 10+ years of ORSA-related experience in military or government civilian experience.•Alternatively, a Bachelor’s Degree in a technical field with an additional 5 years of ORSA-related experience (totaling 10 years) may also be considered.•Proficiency in statistics, data analysis techniques, computer analysis tools, basic modeling and simulation applications, and human factors analysis.•Experience developing test and evaluation plans. (preferred but not required) #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Under the leadership of the Customer Solutions Center Manager, the Customer Solutions Center Overnight Supervisor (CSC – OS) contributes to the success of Butler Medical Transport through providing supervisory support and monitoring of call center operations and activities to ensure inbound calls are answered promptly and accurately, call center volume is managed appropriately, and requests for transport are dispatched accurately and effectively to ensure customer success. Butler Medical Transport provides emergent and non-emergent Mobility, Basic Life Support (BLS), Advanced Life Support (ALS), and Specialty Care (SCT) ambulance transportation. Butler Medical Transport's call volume consists of an average of 300 inbound phone calls daily and 150 transports per day. The CSC – OS schedule rotation is four on four off shift from 1830-0630. The CSC – OS is responsible for customer service levels and serves as a liaison between our contracted facilities, customers, and our field operations team, as well as ensuring compliance with all policies, procedures, and efficiencies during the overnight hours. Actions during the overnight hours set up the day shift team for success. They are responsible for ensuring we meet our on-time performance goals and contractual requirements with our customers and facilities. They are further responsible for planning and prioritizing the daily workload, deploying the best resource available while also ensuring the safety of our field crews and maintaining compliance with federal, state, and local regulations. They are responsible for quality assurance and must maintain accuracy standards to ensure not only operations are executed smoothly and efficiently but also the billing process. The position requires strong leadership, conflict-resolution skills, excellent communications skills, and considerable independent judgment, analysis, and evaluation. Must be capable of making important decisions in critical situations quickly and balance priorities effectively. The CSC – OS is expected to use initiative in coping with unusual situations and circumstances to resolve them. CSC – OS may be called upon to fill a staff position during their regularly scheduled shift in case of excessive call outs. Role and Responsibilities • Proven experience in a customer service process development role ensuring the highest level of customer service is provided (call center or healthcare environment preferred), • Excellent interpersonal and communication skills, • Experience evaluating processes and mapping solutions to ensure the highest level of customer success., • Ability to ensure all agents understand and comply with all call center objectives, performance standards, and policies and able to answer agent questions regarding best practices or difficult calls., • Experience monitoring and evaluating agent performance, providing learning or coaching opportunities, and taking corrective action, if necessary., • Able to prepare reports in Excel and analyze data to assist management as they determine call center goals., • Experience working with other supervisors and management team members to support agents and maximize customer satisfaction., • Outstanding organizational and multitasking abilities, • Active listener with excellent communication skills, • Sound judgment and critical thinking, • Other duties as assigned Qualifications and Education Requirements • High School Diploma or GED equivalent, associate degree in business administration, statistics, or training and development preferred, • Excellent written and verbal and communication skills, • Must be available for recall in times of crisis or when needed due to staffing issues, • Two years of experience working in a call center, • Previous EMS experience, EMT or higher a requirement, • NREMT or MD EMT Required, • One year of supervisory experience, • Must be available for recall in times of crisis or when needed, • Ability to pass a pre-employment drug test, • Ability to pass a pre-employment background check, • Ability to speak and write English Preferred Skills • Knowledge of medical terminology and writing patient care reports, • Problem solving and excellent critical thinking, • Ability to remain calm under pressure We'd love to have you join the Butler Medical Transport team! #HP

$35 - $100/hourpayEViewsMacroeconomicsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking an experienced Senior Manager/Associate Director of Statistical Programming to provide Statistical Programming leadership and expertise in support of clinical development, including oversight of vendors and contract programmers to ensure quality deliverables, and to validate results. In this role, you will: • Lead statistical programming activities across clinical programs, ensuring the development and quality control of tables, listings, figures, analysis datasets. Conduct exploratory statistical analysis to support key decision-making, • Oversee external functional service providers to ensure timely and high-quality programming deliverables, • Develop and maintain standards, guidance, applications, and processes for Statistical Programming operations in adherence with ICH and regulatory requirements, • Drive the adoption of innovative programming technologies and workflows to enhance the efficiency of clinical data review, cleaning, reconciliation, and integration. Additionally, develop analytics tools that enable effective data monitoring and knowledge discovery of clinical data The Team You’ll Join As Senior Manager/Associate Director of Statistical Programming, you'll report directly to the Head of Statistical Programming and will be a key member of the Biometrics Leadership Team. The Biometrics Team is an innovation-driven and execution-minded group of drug development professionals responsible for supporting Recursion's innovative science through novel trial design, data collection, integration, analysis, and enabling data-driven decision making. The Experience You’ll Need • BS/MS degree in life science, computer science, statistics, mathematics, or equivalent relevant degree., • 8+ years of statistics and programming experience with advanced knowledge in pharmaceutical, biotechnology industries, and 5+ years of serving as Lead Statistical Programmer across multiple therapeutic areas., • Demonstrated proficiency in SAS, R, and R-Shiny and mastery of complex graphing techniques to derive analysis datasets, produce tables, figures and listings, and conduct exploratory analyses., • Skilled in developing open-source R packages and visual analytics for exploratory and interactive data analysis, visualization, and insight generation., • Expert knowledge of data standards including CDISC, SDTM, and ADaM, and relevant regulatory guidelines., • Experience with regulatory submissions in the US, Europe, and other regions., • Excellent interpersonal and communications skills including ability of conflict management and resolution. Working Location & Compensation: This is an office-based, hybrid position at our US headquarters located in Salt Lake City, Utah, or our office in New York City, New York. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 to $238,400 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. #LI-DB1 #LI-REMOTE The Values We Hope You Share: • We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust., • We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action., • We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection., • We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day., • We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together., • We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on and _. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

About Renaissance When you join Renaissance®, you join a global leader in pre-K–12 education technology! Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters—creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide. Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve. Job Description Renaissance Learning is seeking Customer Education Consultants with strong facilitation skills to deliver high-impact, engaging professional learning for Renaissance users. Working closely with Professional Learning leaders, Renaissance Consultants help educators apply learning to practices for lasting growth. Renaissance Consultants are key members of our Customer Education team and are responsible for facilitating top quality training experiences, building positive relationships, supporting educators in their implementation of Renaissance solutions, assessment and data practices, and contributing to the continuous development of Renaissance professional learning programs. Availability Requirements Renaissance Consultants are scheduled on an as-needed basis and are paid an hourly rate, with reimbursement for approved travel and related expenses. Consultants must be available to facilitate professional learning sessions for up to 40 hours per week and be willing to travel up to 75% during peak season (July–October). During the non-peak season (November–June), consultants must be available to facilitate professional learning for up to 20 hours per week. Travel is required for this role. Note: This part‑time role requires consistent availability during scheduled training engagements, which may occur during standard school or business hours. In this role, you will: • Learn multiple solutions during the tenure of employment with Renaissance to meet our clients' needs., • Customize and deliver on-site and/or virtual product training and professional learning that meets client needs and exceeds expectations., • Differentiate training on the spot when needed to ensure high engagement and meeting learning goals., • Engage in an internal cycle of reflection, feedback, and development (including observations, client evaluations, and coaching), • Prepare for training engagements by engaging with Renaissance team members, customizing training materials (within specific parameters), learning about the particular needs and goals of the client, etc., • Document and submit detailed training notes., • Present a professional image to customers., • Learn and follow Renaissance processes for preparing, delivering, and post work facilitation Preferred Qualifications • Bachelor’s degree in education or related field, • At least 5 years of professional experience facilitating/delivering professional development,, • Prior experience in K-12 education, • Experience with educational technology, familiarity with Renaissance products and solutions, • Experience delivering training across various in-person and virtual modalities, including webinars, • Deep understanding of engaging adult learning principles, • Excellent verbal, written, presentation, and facilitation skills, • Ability to learn and utilize new tools and technologies quickly, • High level of attention to detail, • Proven organizational skills, • High level of collaboration with internal and cross functional teams, • Ability to manage multiple tasks and prioritize appropriately., • Ability to work independently on tasks, projects, and learning sessions, • Growth mindset and commitment to continuous improvement, • Ability to travel and to arrange lodging and transportation. Additional information All your information will be kept confidential according to EEO guidelines. #LI-Remote Compensation We offer compensation for delivering professional learning ($50/hr), preparing for sessions ($50/hr), internal meetings ($25/hr), and travel ($20/hr). All travel-related work expenses are paid in advance by contractors and reimbursed upon submission of reimbursement requests, within 2-3 weeks of submission. Contract employment This role is hired through a staffing agency rather than directly by Renaissance. Opportunities to facilitate professional learning are based on customer need, contractor performance, and contractor readiness. Benefits for eligible US employees include: • World Class Health Benefits: Medical, Prescription, Dental, Vision, Telehealth, • Health Savings and Flexible Spending Accounts, • 401(k) and Roth 401(k) with company match, • Paid Vacation and Sick Time Off, • 12 Paid Holidays, • Parental Leave (20 total weeks with 14 weeks paid) & Milk Stork program, • Tuition Reimbursement, • Life & Disability Insurance, • Well-being and Employee Assistance Programs Benefits listed apply to eligible U.S. employees in accordance with Renaissance’s benefits eligibility criteria. Contractor and other non‑employee roles are not eligible for Renaissance employee benefits. Frequently cited statistics show that some women, underrepresented individuals, protected veterans and individuals with disabilities may only apply to roles if they meet 100% of the qualifications. At Renaissance, we encourage all applications. Roles evolve over time, especially with innovation, and you may be just the person we need for the future! Equal Opportunity Employer Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law. For California Residents, please see our Privacy Notice for California Job Candidates _. Reasonable Accommodations Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If accommodation is needed to participate in the job application or interview process, please contact _. Employment Authorization Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time. For more information about Renaissance, visit: _

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Responsibilities include: • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization., • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques)., • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc., • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results., • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization’s business challenges.Qualifications:, • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar, • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling, • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP., • Experience using git/github to version control source code, • Experience leveraging transformer architecture to develop NLP models, • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK., • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers, • Experience with GenAI and Prompt Engineering is a plus, • Experience in Databricks and MLFlow is a plus, • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus, • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract, • Experience coordinating and maintaining user stories, • Must be a US citizen, • Must be able to obtain and maintain a Public trust security clearance About : Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at and is an _ provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role., • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research environment. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. What you will do • Work closely with our simulation engineers, data scientists and customers to develop an understanding of the physics and engineering challenges we are solving, • Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable, • Explore and manipulate 3D point cloud & mesh data, • Own the delivery of technical workstreams, • Create analytics environments and resources in the cloud or on premise, spanning data engineering and science, • Identify the best libraries, frameworks and tools for a given task, make product design decisions to set us up for success, • Work at the intersection of data science and software engineering to translate the results of our R&D and projects into re-usable libraries, tooling and products, • Continuously apply and improve engineering best practices and standards and coach your colleagues in their adoption You'll also have the opportunity to travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site. What you bring to the table • Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings., • Experience in ML/Computational statistics/Modelling use-cases in industrial settings (for example supply chain optimisation or manufacturing processes) is encouraged., • A track record of scoping and delivering projects in a customer facing role, • 2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps), • Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow), • Distributed computing frameworks (e.g., Spark, Dask), • Cloud platforms (e.g., AWS, Azure, GCP) and HP computing, • Containerization and orchestration (Docker, Kubernetes), • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly, • Excellent collaboration and communication skills - with teams and customers alike, • A background in Physics, Engineering, or equivalent Our delivery teams drive innovation to turn AI models into practical solutions - Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 💰 5% contribution to 401(k) - build long-term security with a strong retirement plan. 🏥 Private health insurance – comprehensive cover for you, offering total peace of mind. 👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. ☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 📈 Personal development – dedicated support for learning, development, and leveling up over time. 💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing. 💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses. 🔎 Watch this space, we’re continuing to build this as we grow… $150,000 - $190,000 depending on experience Seniority will be assessed throughout our interview process We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Sr. Data Scientist at Smarsh, you will be analyzing a wide range of unstructured communications data to address problems for our customers through attentive listening, astute planning, and out of the box thinking to develop solutions and reporting results in an engaging manner. The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis. This role offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency. • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms., • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities, • Data annotation and quality review, • Exploratory data analysis and model fail state analysis, • Methodology, results and insights reporting, including model Governance report drafting in collaboration with senior team members, • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes, • Providing guidance to junior team members on model development and EDA, • Working with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures, • Continued self-led personal development, • Bachelor’s degree in Computer Science, Applied Math, Statistics, or a scientific field, • 3-5 years’ experience working with data & analytics, • Experience working with Python, SQL and noSQL databases, • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse, • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…), • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming), • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…), • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.), • Experience with natural language processing toolkits like NLTK, spaCy, • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes, • Knowledge of Agentic Processing, • Familiarity with training and evaluating transformer-based models, • Understanding and Experience of NLP Techniques in traditional pipelines, metrics, process and evaluation for supervised and unsupervised learning., • Familiarity with Deep Learning techniques for NLP., • Familiarity with LLMs; using ollama & Langchain, • Excellent verbal and written skills, • Proven collaborator, thriving on teamwork, • Preferred Qualifications, • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field, • Familiarity with cloud computing platforms (AWS, GCS, Azure), • Experience with automated supervision/surveillance/compliance tools $135,000 - $175,000 a yearThe above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process. The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Director, Biostatistical Consulting (SrDBiosC) to join our A-team (office-based*/remote). As a (SrDBiosC) at Allucent, you are responsible for assisting in the coordination of statistical consulting services within the Biostatistics and Statistical Programming Department. This includes management of direct reports, ensuring appropriate resourcing allocation, and supporting business development and proposal needs. This position contributes to the department, the business unit, and Allucent financial and operational goals. The SrDBiosC, interacts with the BIOSC team and Allucent biostatistics and statistical programming team members, direct reports, executive leadership, other Allucent functional groups and business units. This position maintains compliance with relevant SOPs, regulatory guidelines, and client expectations. The SrDBiosC, provides statistical consulting to sponsors to support clinical program development, protocol development, sample size and endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions. The SrDBiosC is a senior member of BIOSC and supervises according to the organizational chart. In this role your key tasks will include: • Provide statistical consulting to sponsors to support clinical program development, protocol development, sample size calculations, endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions, • Provide statistical consulting for complex and/or novel statistical analyses, • Provide statistical consulting to support clinical development strategies, including extensive interface with client executive and leadership teams, • Provide input and support responses to regulatory questions on statistical issues relating to client regulatory submissions, interacting with and attending meetings with regulatory bodies as applicable, • Prepare statistical analysis plans (SAPs) and table, listing, and figure (TLF) mocks for any complexity of study, • Provide senior reviews of statistical documents, data, and outputs for studies of all complexities to ensure quality and integrity, • Execute a statistical analysis of any complexity as specified in a protocol or analysis plan, • Interpret and communicate results for complex statistical analyses and outputs, • Develop and/or review the statistical sections of a study protocol for studies of any complexity level, • Review statistical sections of a clinical study report to ensure accurate descriptions of statistical methods used and results of analyses, • Provide randomization materials including randomization schedules and treatment kit lists per Allucent SOPs and the sponsor-approved specifications, • Develop or review documents for integrated analyses (e.g. ISS/ISE), including integrated SAPs and statistical sections of integrated study reports, • Working knowledge of SAS® for production and validation of datasets and statistical outputs, • Write and review specifications for complex ADaM or analysis datasets · Annotate or review annotations of TLF mocks to assist programming efforts, • Working knowledge of CDISC standards, • Review CRF design to ensure it conforms with the study protocol and analysis needs, • Review data management documents as requested to ensure integrity of study data, • Lead highly complex projects by fulfilling the following responsibilities: communicate with the client and statistical team, set and achieve timelines and milestones, ensure proper execution of the study SAP, monitor programming efforts in collaboration with the lead programmer, and work with management to ensure adequate resourcing, • Function as the lead unblinded statistician for studies and manage unblinded tasks including implementation of interim analyses and participation in DMC/safety review meetings, • Accountable for leading biostatistics and programming activities for a program of studies of high complexity and/or of high value., • Identify high-risk or high-impact deliverables and assign appropriate oversight, • Lead and manage project budgets, support financial reporting for studies, identify of out-of-scope work and provide leadership in change order process, • Collaborate with and verify open communication with other functional areas and business units, • Provide biometrics leadership and coordination across client and other vendor functional areas, including clinical operations, pharmacovigilance, regulatory, and medical writing teams, • Represent Allucent at proposal bid defenses and/or marketing meetings with prospective clients, • Provide key input into project proposals and budgets, • Establish positive relationships with current and future clients, • Identify key accounts and maintain strong long-lasting relationships to win new and repeat business, • Monitor and assure client satisfaction on existing projects for biostatistics and statistical programming, • Contribute to BIOSC, BBU, and corporate marketing activities via blogs, webinars, white papers, and other publications and presentations, • Contribute to other areas of business and assignments as required To be successful you will possess: • Graduate degree (Master’s degree/local equivalent, or higher) in a relevant discipline including, but not limited to, statistics, mathematics, life science, epidemiology, or healthcare, • Must have strong experience in Bayesian designs specifically in oncology studies., • Minimum 15 years of relevant work experience, • Minimum 10 years of experience in drug development and/or clinical research, • Thorough knowledge of GxP, • Strong familiarity with relevant regulations and guidelines, • GDPR/HIPPA, CFR/CTR/CTD and applicable (local) regulatory requirements, • Working knowledge of computer systems, applications and operating systems, • Demonstration of critical thinking and analytic skills, • Broad knowledge of drug development, • Ability to simplify complex issues into understandable concepts, • Proficient with one or more sample size software packages, • Strong technical skills with proficiency in SAS and/or other statistical programming languages, • Strong written and verbal communication skills including good command of English language, • Collaborative and client-focused, • Ability to work in a fast-paced challenging environment of a growing company, • Administrative excellence, • Strong leadership skills, • Effective at problem solving, strategic thinking and conflict resolution, • Strong presentation and networking capabilities, • Excellent organizational, negotiating and financial skills, • Knowledge of SAS, • Proficiency with various computer applications such as Word, Excel, and PowerPoint, • Strong individual initiative, • Excellent attention to detail and commitment to quality, • Ability to establish and maintain effective working relationships with co-workers, managers, clients, and vendors, • Ability to effectively manage multiple tasks and projects, • Reputation as a leader with sustained performance and accomplishment Benefits of working at Allucent include: • Comprehensive benefits package per location, • Competitive salaries per location, • Departmental Study/Training Budget for furthering professional development, • Flexible Working hours (within reason), • Opportunity for remote/hybrid* working depending on location, • Leadership and mentoring opportunities, • Participation in our Buddy Program as a new or existing employee, • Internal growth opportunities and career progression, • Financially rewarding internal employee referral program, • Access to online soft-skills and technical training via GoodHabitz and internal platforms Disclaimers: *Our office-based work policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within reasonable distance from one of our _. “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-TCW

Enterprise Knowledge (EK) is hiring for a full-time Semantic Data and AI Engineer to join our growing Knowledge and Data Services Sector. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations. As an EK Semantic Data and AI Engineer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique , and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on . • Work with data subject matter experts and business users to effectively understand and model their domain of knowledge, • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets, • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation, • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration, • Support a variety of business intelligence projects using AI-based solutions, • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders, • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages, • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures, • Work with internal and external teams to contextualize data engineering work into larger project context As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer. Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA. • Bachelor’s degree in math, statistics, economics, data science, computer science, or a related field, • 5+ years experience working on data analysis project(s) designing reports and designing data analysis approaches and visualizations in a production setting, • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products, • Experience applying machine learning methods and statistical analysis to business use cases, • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling, • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting, • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models, • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches), • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift, • Familiarity with data modeling, database architecture, and data integration, aggregation and normalization across heterogeneous sources, • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work, • Experience designing and working with relational databases, • Experience designing and working with graph databases and SPARQL, • Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements, • Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus, • Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions, • Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.), • Experience designing and planning data science projects to meet business requirements, • Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent EK considers a broad range of factors in considering employee salary including a candidate’s skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $150,000 to $210,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications. Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent. We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice. You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected. By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com

Welcome to — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture. In January 2023,_ acquired WillowTree, creating a combined firm with service offerings spanning Customer Experience and Digital Solutions. With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering. From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company. This role will operate remotely in the United States or based out of one of our major North American office locations - Charlottesville, VA, Durham, NC, Columbus, OH, and Boston, MA. TELUS Digital is seeking a Google CX Engineer to lead the architecture and technical development for our Gemini Enterprise Customer Experience (GECX) solutions. This is a high-impact individual contributor role responsible for building the scalable, secure, and integrated Google Cloud environments that power our most advanced conversational AI and agentic workforce implementations across app, web, and CCaaS platforms. You will play a critical role in expanding our expertise in Conversational Agents, Agent Assist, and Conversational Insights, ensuring TELUS Digital continues to lead in AI-powered customer experience transformation. The role requires a combination of strategic execution, technical understanding of Google CES products, and strong business acumen. Stay current on Google CES advancements, generative AI, and NLP trends to recommend and integrate new capabilities. Contribute to the development of innovative solutions and accelerators on the Google CES platform. Ensure delivery excellence and solution scalability by applying best practices and proven technical approaches. Encourage a culture of innovation and continuous improvement within the team. Lead the architecture and development of Google Cloud environments specifically optimized for Gemini Enterprise Customer Experience (GECX) deployments. Design and implement secure integrations between GECX, Google Cloud AI services and external platforms, including defining and configuring real-time CCaaS audio ingestion methods such as SIPREC and gRPC, as well as mobile applications and web interfaces. Configure identity and access management (IAM) and secure service accounts to ensure governed access to GECX components. Bachelor’s degree in Computer Science, Engineering, Business, or related field; advanced degree is an asset. 5+ years of experience in technology consulting, digital transformation, or customer experience, with a focus on AI/ML solutions. Preferred: Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. Practical expertise with Google Customer Engagement Services (formerly CCAI). Proven success delivering AI/ML-powered customer engagement or contact center solutions. Strong understanding of customer experience design, contact center operations, and key CX metrics. Excellent communication and presentation skills for both executive and technical audiences. At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us. For more information on how we use your information, see our_.

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions. As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to address intricate business challenges. Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools. Additionally, you will be responsible for developing and validating approaches that ensure accuracy, robustness, and scalability for production deployment. Responsibilities: • Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems., • Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights., • Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools., • Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments., • Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations., • Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation., • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field., • 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling., • Proficiency in programming languages such as Python., • Strong expertise in SQL and experience working with large-scale databases and data processing frameworks., • Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering., • Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively., • Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously., • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field., • Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch., • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud., • Experience where data science has driven significant business outcomes., • Strong understanding of A/B testing, experimental design, and causal inference techniques., • Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments., • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed., • Comprehensive medical benefits coverage, dental plans and vision coverage., • Health care and dependent care spending accounts., • Employee and Family Assistance Program (EAP)., • Employee discount programs., • Retirement plan with a generous company match., • Generous Paid Time Off, Sick, and Holidays, • Family Leave (Maternity, Paternity), • Short- and long-term disability, • Life insurance and accidental death & dismemberment insurance Compensation Range Compensation may vary depending on skills and experience. Base Salary: $96,900 - $132,300 Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success. Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

You will be the hands-on owner of our analytics and data ecosystem, transforming complex data into actionable insights that drive strategic decision-making. In this role, you will manage, build, maintain, and ingest data from various source systems (such as HRIS, ATS, and Identity). We are looking for an ambidextrous engineer who is highly proficient in using Claude Code and other GenAI tools to rapidly build both the middle data layer (canonical models, semantic layers) and the app layer. Through this hybrid approach, you will surface insights and create beautiful UI visuals that translate complex data into clear, compelling narratives for end users. • Data Ingestion & Modeling (40%): Partner with Data Platform/IT to ingest data from diverse source systems; own the "T" in ELT using dbt, implementing tests, lineage, and data contracts., • Full-Stack & GenAI Development (40%): Leverage Claude Code and other GenAI tools to build the middle data layer and app layer, creating interactive dashboards and beautiful UI visuals that go beyond traditional reporting to surface insights., • Analytics & Strategy (20%): Analyze complex datasets to identify trends and perform root cause analysis, collaborating with cross-functional leaders to iterate key performance indicators while implementing strict privacy-by-design (PII minimization, RBAC)., • 3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products., • Expert SQL skills; deep experience with dbt and dimensional/event-temporal modeling., • Demonstrated ambidexterity in using Claude Code and other generative AI tools to accelerate full-stack development, data modeling, and UI creation., • Hands-on experience with a cloud warehouse (Snowflake/BigQuery) and an orchestrator (Dagster/Prefect/Airflow)., • Proficient in Python or R for data transformations, statistical analysis, and automation., • Strong communication skills with a track record of translating complex analytical findings into actionable business insights. Advanced degree in Statistics, Data Science, Psychology, Economics, or related quantitative field. Track record integrating HRIS/ATS/payroll/identity sources and hardening metrics for exec-level decisions. Familiarity with data privacy regulations (GDPR/CCPA) and ethical considerations in analytics. Domain Specific Experience Full Stack: Experience building full stack web applications and beautiful UIs to surface data insights. Proficiency in applying GenAI tools to streamline both data engineering and frontend app development. Data Infrastructure: Experience in designing, building and optimizing data pipelines and ETL processes. Experience building continuous integration and continuous deployment (CI/CD) pipelines. Experience with security and systems that handle sensitive data. Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and Lifting may be required.Who We Are:Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place. What Does This Mean for You?At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission. In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members: Flexible work schedules and the ability to work remotely are available for many rolesHealth, dental and vision insurance paid up to 80% for employees, dependents and domestic partnersRobust time-off plan (21 days of PTO in your first year)Two paid volunteer days and 11 paid holidays12 weeks paid parental leave for all new parentsSix weeks paid sabbatical after six years of serviceEducational Assistant Program and Clinical Employee Reimbursement Program401(k) with up to 4% matchStock optionsAnd much more! At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation. Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at _We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation) Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review) Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth General AI Training Model Evaluation and Evals Trust and Safety Red Teaming Quality Analytics Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation) Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. _ _ By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's _ explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job DescriptionDescription: School Profile The SEED School of Maryland is a statewide, public, college-preparatory boarding school that opened in August 2008. The school educates and boards 400 students in grades six through twelve. The SEED School is an extraordinary educational opportunity for students across the state to receive a tuition-free, college-preparatory, boarding education. The SEED School of Maryland combines a rigorous and engaging academic curriculum with life skills and enrichment activities to provide students with a thoughtfully balanced learning and living experience. Students and their families commit to a seven-year educational program that offers small class sizes, high quality teaching and learning experiences, mentoring, community service, and extracurricular activities such as sports and arts. The SEED School is centered around its character values: compassion, growth, gratitude, perseverance, integrity, respect for oneself and others, and responsibility. The SEED School staff are in partnership with parents, families, and communities to guide and support student success. The school follows a typical academic school year calendar. SEED Network SEED is the pioneering national network of public, college-preparatory boarding schools, offering a unique 24-hour, 5-day per week learning environment. Our tuition-free schools, the first of their kind in the U.S., are intentionally designed to serve traditionally underserved students. Supported by The SEED Foundation, we operate in Washington, D.C., Baltimore, Miami, and Los Angeles. The Foundation's College Transition & Success (CTS) team provides comprehensive support to SEED graduates from junior year through college graduation. SEED's success has gained recognition from media outlets like 60 Minutes and The New York Times, and former President Obama has lauded it as "a true success story." Learn more at www.seedfoundation.com. Position Summary: The Math Teacher will design, develop, and deliver quality lesson plans and curricula that adhere to national and school guidelines. Providing suitable assessments and delivering helpful feedback to students, parents, and other teachers. This position reports to the Assistant Principal. Job Description: • Planning and instructing lessons on math topics, such as Pre Algebra, Alegra I, Geometry, Algebra II, or Statistics, • Enforcing classroom management and school administrative policies, • Assessing and accommodating students learning needs and styles, • Using technology to deliver lessons and other educational materials, • Communicating effectively with students, parents, and staff, • Preparing students for standardized math and post-secondary entrance tests, • Grading students assignments, tests and exams, • Evaluate each student’s progress in math knowledge and skills., • Selects and requisitions books, instructional aids, and supplies; maintains required inventory records., • Supervise daily and check homework, ensure students’ academic progress, and serve as a primary point of contact for parents., • Regularly assess student mastery of key skills and concepts and use this data to differentiate instruction to meet student needs., • Participates in faculty committees and sponsorship of student activities., • Participates cooperatively with the appropriate administrator(s) to develop the method by which he/she will be evaluated in conformance with district guidelines., • Performs other comparable duties of a like or similar nature apparent or as assigned.Requirements: Qualifications: The MS/US Math Teacher will meet all qualifications and behavior standards as set by the State of Maryland authority. In accordance with certification requirements and performance expectations, all classroom teachers shall meet the following employment criteria. • MSDE Certification in Math preferred or ability to obtain a conditional license., • Successful completion of a background check, • Bachelor's Degree

About Lyra Health Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role: We are looking for a self-driven Senior Data Analyst who demonstrates impact, ownership and innovation. Please note that remote-based candidates must be physically located within the United States. Collaborate closely with Lyra’s Technology, Operations, Product, and other associated teams to provide critical business insights that enable strategic planning and improve operational processes, resulting in high-quality care for clients. Become an expert in the diverse data sources at Lyra, working with Data Engineers, Data Scientists, and fellow Data Analysts to build and enhance Lyra’s data models. Partner with Data Engineering to build a scalable and flexible analytics metrics database using the standard development process involving Snowflake, dbt, Github, and peer reviews. Conduct quantitative analyses to identify meaningful trends in care experience and utilization that uncover new opportunity areas and drive stakeholder decision-making. Provide internal stakeholders with ongoing visibility into key metrics by creating and maintaining Tableau dashboards and reports. Complete time-sensitive ad hoc data requests that inform high-priority business objectives while ensuring high data quality and reporting accuracy. Using domain knowledge and technical expertise, guide and advise stakeholders on reporting logic, metric development, and data limitations/caveats to ensure rigorous methodology and accuracy. Build automation and self service analytics solutions for stakeholders, leveraging data tools and resources such as python, BI tools and automation platforms. 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product / operations analytics and have partnered with engineering, operations and product teams in prior roles. Bachelor’s Degree, preferably in Engineering, Math, Statistics, Analytics/Data Science or other related field. Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views. Experience in working with a cloud data warehouse and modeling analytic views with dbt. Strong experience with defining metrics and developing dashboards and visualizations that provide clear, actionable insights to stakeholders. Experience with developing self-serve automated analytic solutions that involve scripting, data cleansing, data extraction pipelines, and / or process automation. Excellent at cross-functional collaboration with non-technical business stakeholders, especially in translating technical concepts, scoping reporting requests, and working together to create high-quality deliverables. Demonstrated experience in project ownership; capable of independently managing and meeting project milestones. $114,000 - $157,000 a year As a full-time Sr. Data Analyst, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $114,000 to $157,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: • Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances), • Lyra for Lyrians; coaching and therapy services, • Equity in the company through discretionary restricted stock units, • Competitive time off with pay policies including vacation, sick days, and company holidays, • Paid parental leave, • 401K retirement benefits, • Monthly tech allowance, • We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law. By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health . Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information . This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact . For more information about how we use and retain your information, please see our ."We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. Skills and Experience: We're not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges. \n Requirements • Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred., • 3+ years of applicable work experience., • Demonstrable proficiency in Python, Scala, SQL, or R., • Strong data visualization and reporting skills., • Proven track record delivering high-value, advanced analytics., • Experience leading the work of other data scientists or analysts is preferred., • World-class ability to extract and communicate insights from real-world datasets., • Startup agility and versatility. \n Visit www.entefy.com and www.entefy.com/blog

SmarterDx, a company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at . We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact. This role offers a unique chance to take a leading role in delivering on an ambitious product roadmap using data to enhance the operational efficiency of healthcare providers. This role is fully remote within the US • Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions, • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results, • Prototype analytics solutions and data products to accelerate product development, • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications, • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data, • Building, maintaining, and testing data models which support reporting and analytics., • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning, • 3-5+ years' experience as a data analyst or product data scientist (or, if your y-intercept is lower, evidence that your slope is super steep), • Strong technical skills: querying data with SQL, transforming data with dbt to shorten time to insight, performing analysis with python, and communicating findings with compelling data visualizations, • Masters in statistics or other relevant fields preferred, • Ownership: Build and own features from start to finish., • Strategic mindset: strong ability to connect analytics to business understanding and provide actionable insights., • Scrappiness: Navigate ambiguity effectively, understanding when it’s necessary to piece solutions together on the fly, and be able to do so., • Product focus: How can we maximize the utility and value we deliver to our end users?, • Familiarity with experiment design and statistical analysis, • Experience with health system clinical and/or revenue cycle data is preferred, • Data Visualization: Hex and Evidence, • Analysis: Python & Data Science libraries (numpy, pandas, etc), • Pipelines: Snowflake, dbt, airflow, git, and AWS $160,000 - $190,000 #LI-Remote • Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan., • Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents., • Remote-First Team – Work from anywhere in the U.S., • Unlimited PTO & 10 Holidays – So you can relax and recharge., • 401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match., • Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters., • Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

Type: Full-time, Remote We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. • Problem Framing & Stakeholder Partnership, • Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)., • Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)., • Data Analysis & Feature Engineering, • Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses., • Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices., • Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions., • Model Development (Core ML), • Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)., • Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation., • Build time series models (statistical and ML/DL approaches) and validate with proper backtesting., • Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness., • Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making., • Deep Learning, • Build and train deep learning models using PyTorch or TensorFlow/Keras., • Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)., • Evaluation, Explainability, and Iteration, • Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports., • Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence., • Productionization & MLOps (Project-Dependent), • Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration., • Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans., • Documentation & Communication, • Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders., • Create documentation and lightweight demos that make results actionable., • You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)., • Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring., • Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly., • 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)., • Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)., • Strong SQL skills (joins, window functions, aggregation, performance awareness)., • Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset., • Hands-on experience across multiple model types, including:, • Classification & regression, • Time series forecasting, • Clustering/segmentation, • Experience with deep learning in PyTorch or TensorFlow/Keras., • Strong problem-solving skills: ability to work with ambiguous goals and messy data., • Clear communication skills and ability to translate analysis into decisions., • Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)., • Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)., • Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)., • Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)., • Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)., • Consulting or client-facing delivery experience. Certifications (Strong Plus) Candidates with at least one relevant certification are especially encouraged to apply: • Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks), • Databricks certifications (Data Scientist, Data Engineer, or related), • Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)., • Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products., • Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability.Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation., • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).

We’re an Industrial AI start-up founded by a Stanford professor and led by recognized leaders in Data Intelligence for Aerospace & Defense supply chain operations. Our Enterprise SaaS AI Application improves sustainment of the U.S. Air Force’s 5,000-aircraft fleet ($100B yearly budget). Having delivered $200M+ in cost avoidances, we are growing 4x in repeat contracts. We are building hallucination-free Agentic AI for mission critical decision support where GenAI relies on proprietary Explainable AI engines for SME-explainable insights from historical data. We’re hiring an Explainable AI Engineer to build, integrate, and deploy our AI Engines and Agentic AI workflows. You’ll have an opportunity to learn from Stanford and Georgia Tech professors and work across algorithms and data pipelines to evolve our Explainable AI including • Development of deep math features for the models, ML, and inferences, • Automation of data wrangling and cleansing towards scalability, • Aerospace grade V&V for mission critical functions using simulations, • Explainable AI engine interfaces to data, human users, and Agentic AI Main Responsibilities: • Understand, develop, & support deep math analytics in Explainable AI Engines, • Build, evolve, verify, and validate data processing pipeline segments, • Support scalable deployment of the AI, • Integrate Explainable AI with LLM tools for Agentic AI experience, • Collaborate with the cloud software team and occasionally with customers, • Document Explainable AI for customer users and internal software developers Must-haves • Experience with productized analytical applications, • Experience building mission-critical applications as a part of a team, • Hands-on skills in at least some of mathematical methods in:, • Statistics, • Bayesian estimation, • Mathematical optimization, • Decision and Control, • Experience with MATLAB, • Experience in Java and GitHub (Actions)., • Solid experience writing technical documentation, • Strong collaboration and communication skills., • Bachelor’s Degree in Engineering or a related field, • U.S. Citizenship. Pluses • Model-based development / simulation-based verification, • Operations Research, • Supply chain and/ or MRO in the aerospace industry, • Building SaaS type applications, • Shell scripting, Golang., • Experience with GenAI and LLM augmentation (RAG), • An advanced degree, • US Citizenship Required: This position requires the ability to work with Controlled Unclassified Information for the Department of Defense., • A background check and a drug check may be required., • Location: This is a remote position. USA, Nationwide. Proximity to either our Palo Alto, CA or Atlanta, GA office may be a plus., • You will have an opportunity to start as a contractor (preferred; full-time or part-time, at least 10 hours/ week), or a full-time employee.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

About Sezzle: With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping! About the Role: We are seeking a talented and motivated Principal Machine Learning Engineer who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms. Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow. Responsibilities: • Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment., • Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively., • Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime., • Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases., • Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution., • Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency., • Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration., • Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge., • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience., • At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment., • Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields., • Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions., • Proficiency with Python is required, and experience with Golang is a plus., • Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently., • Experience working with relational databases, data warehouses, and using SQL to explore them., • Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner., • Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models., • Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations., • Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams. About You: • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed., • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things, • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking., • You earn trust - you listen attentively, speak candidly, and treat others respectfully. What Makes Working at Sezzle Awesome: At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. #Li-Remote

About Tailscale Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. Job Description We’re seeking a talented and motivated full-time Software Engineer to join our growing team. You will work as part of the engineering team to: • Develop the Tailscale product, contributing to client code and backend services. The client code is a mix of modern Swift, Kotlin and Go. Prior Go expertise is not a requirement., • Bring a special focus on our mobile platforms, iOS and Android, while contributing to common code that supports macOS, Windows and other core client platforms. Because we’re an early-stage and fully remote company, we’re looking for a motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities iOS and Android development expertise: • Proficiency in Swift, SwiftUI, and/or Kotlin, • Unit and integration test development and maintenance, • Cross-target code sharing, • Familiarity with mobile VPN infrastructure, • Providing support for the latest Apple and Android platform features while maintaining compatibility with a reasonable subset of older systems What We Are Looking For • 5+ years of experience in software development, • Strong understanding of software development principles, capabilities, and limitations of mobile platforms, • Proficiency in Go is desirable, • Experience with general networking networking concepts - DNS, VPNs, IP Networking, routing, etc., • Excellent written and verbal communication skills, • Ability to give and process constructive feedback, as well as work independently, • Flexibility to adjust to the dynamic nature of a startup As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $181,000 - $226,000 USD Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! What We Offer • An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life., • A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles)., • Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family!, • Remote first company—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description., • Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, and the United Kingdom. We support intentional in-person connection through team travel and distributed collaboration., • Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities., • Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!, • A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $1000 USD to customize your workstation to make it your own., • Generous parental leave program from your first day. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups for up to 26 weeks. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit _.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. _ The Marketing Experience team builds Instacart’s growth marketing platform—the foundation that empowers marketers to run efficient, optimized, and privacy-safe campaigns across the customer lifecycle. We are looking for a Product Manager, Growth Marketing Platform, to own the strategy and execution for our unified marketing stack, including agentic CRM, marketer tooling, and end-to-end orchestration. In this role, you will partner closely with Engineering, Data Science/ML, Marketing, Design, and Analytics to transform how Instacart plans, executes, and measures growth marketing. You will drive a multi-half roadmap that improves the efficiency of marketing spend, accelerates tooling velocity, and unlocks higher ROI for stakeholders across the company. If you thrive in fast-paced, highly cross-functional environments and love building scalable, AI-powered platforms that marketers rely on every day, this role is for you. This position is remote-friendly across the US and Canada. • Own the product vision, strategy, and multi-half roadmap for an end-to-end growth marketing platform, spanning agentic CRM, marketer tooling, and unified orchestration and measurement., • Translate marketer needs into durable platform capabilities, including audience segmentation, journey orchestration, personalization, experimentation, governance, and performance analytics., • Partner with Engineering and ML to design and ship AI- and agentic-powered features that automate planning, targeting, creative workflows, and real-time optimization with the right safety and guardrails., • Define clear KPIs for marketing efficiency and ROI, instrument reliable analytics and data quality, and lead experimentation frameworks (A/B and multivariate) that drive decision-making at scale., • Lead cross-functional execution across Marketing, Data Science/ML, Engineering, Design, Privacy/Legal, and Finance—aligning priorities, managing risks and dependencies, and delivering outcomes on time., • Drive adoption and change management through documentation, enablement, and training so marketers can move faster with confidence on a unified, scalable platform., • 5+ years of product management experience delivering platform or MarTech/CRM/growth marketing products end to end., • Proven track record defining strategy, setting roadmaps, and launching complex, cross-functional products with Engineering and Data Science/ML., • Hands-on proficiency with data-driven decision making, including experimentation design and analysis (e.g., A/B testing) and competency with SQL or product analytics tools., • Experience partnering directly with Marketing stakeholders to build tools that improve campaign performance, workflow efficiency, and measurement., • Exceptional written and verbal communication skills with demonstrated ability to align senior stakeholders and drive clarity through PRDs, strategy docs, and roadmaps., • Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, or a related field; or equivalent practical experience., • Led multi-quarter, cross-company initiatives focused on marketing transformation, platform unification, or large-scale growth programs., • Prior experience as a Growth PM optimizing lifecycle or performance marketing, including segmentation, journey orchestration, suppression, and attribution., • Experience building ML/AI or agentic features for marketer workflows; familiarity with LLMs, prompt orchestration, retrieval, evaluation, and safety/guardrails., • Systems thinking with the ability to model complex marketer workflows and translate them into scalable platform primitives and APIs., • Familiarity with the MarTech ecosystem (e.g., CDPs, ESPs/push providers, MMPs, feature flagging, experimentation platforms) and integration best practices., • Comfort operating in privacy- and compliance-centric environments, collaborating with Legal and Privacy on governance and data stewardship. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy _. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings _. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $185,000 - $199,500 USD WA $181,000 - $191,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $174,000 - $183,500 USD All other states $158,000 - $166,500 USD

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. Consumer data science plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through deep understanding of how we can better connect people to the best information and communities for them - the heart of Reddit’s product - from crypto to support groups, gaming to AMAs, travel tips to memes. As a Staff Data Scientist on the team, you will play an influential role in guiding product strategy through proactively identifying opportunities, conducting exploratory analyses and sharing insights, and driving learning through experimentation. Responsibilities: • Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention, • Influence strategic roadmaps through data-driven insights into user behaviors and needs, • Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis, • Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions, • Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization, • Work cross functionally with product, engineering, and design teams to ensure insights make it to the product, • Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems Required Qualifications: • Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of 6+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Expert knowledge of SQL and relational databases, • Familiarity with statistical analysis and the preferred programming languages of the team (R / Python), • Demonstrated ability to influence and guide product strategy with data, • Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way, • Familiarity with causal inference techniques and causal models, • Excellent communication and experience working with senior leaders / stakeholders, • Entrepreneurial, self-directed, and enthusiastic about solving problems, • Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit, • Conform in innovative and fast-paced environments, and have a bias toward action., • Can discuss complex topics with technical and non-technical audiences Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k Match, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Reddit Global Days off, • Generous paid Parental Leave, • Paid Volunteer time off #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$217,000—$303,900 USD Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at _.

On Behaviors, you'll have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality and create positive social impact. Our team works on the tech stack responsible for understanding highly complex driving scenes and generating safe, comfortable driving trajectories for our robotaxi using the latest deep neural networks. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You’ll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day to day responsibilities include: • Designing and executing high value experiments based on collaborative input from other machine learning engineers, • Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities, • Timely release of major model updates, including analysis of both off-line and on-road evaluation data, • Staying up to date with the latest trends in our fast moving industry, and proposing new architectures and network designs based on published literature, • Maintaining a high quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation What We’re Looking For: • In-depth understanding of common Machine Learning and Deep Learning algorithms, • Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome, • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods, • Experience with PyTorch or other python-based deep learning frameworks, • Experience working with large data sets and deriving insights from data, • Experience mentoring and collaborating with others Education Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Bonus Points • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.), • PhD in machine learning, computer vision, or robotics vision, • Experience working on autonomous vehicles or related fields, • Experience in deploying models into real-world environments, • Strong programming skills in C++ and/or CUDA programming, • This opportunity can support remote work within the United States, with occasional travel. Working Conditions While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional’s benefits program. Motional’s benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$146,000—$225,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on , , and _. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Role - Machine Learning Expert (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. We provide support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? We invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy, and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI Engineers, Data Science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the "what", “why”, and "how" behind AI outcomes. Our Founders Fiddler AI is founded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, Paypal and two-time founder). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join Us Our team is motivated to help build trust into AI to enable society harness the power of AI. Joining us means you get to make an impact by ensuring that AI applications at production scale across industries have operational transparency and security. We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer. Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space. As a Solutions Architect, Customer Success at Fiddler, your mission is to ensure our customers achieve meaningful, measurable outcomes from their AI observability investments. You serve as both a technical expert and trusted advisor, bridging the gap between complex ML/LLM systems and real-world business value. By guiding customers through onboarding, building seamless integrations, and championing their needs across the organization, you help them operationalize trustworthy AI at scale while fueling Fiddler’s growth through successful adoption, renewals, and expansion. You’ll join a tight-knit, highly collaborative Customer Success Engineering team that partners closely with some of the world’s leading enterprise AI organizations. We operate remotely but stay deeply connected through constant communication, collaboration, and shared purpose. Our team thrives on knowledge sharing, peer learning, and collective problem solving; no one works in a silo. We celebrate each other’s successes, support one another through complex challenges, and take pride in helping our customers achieve real-world impact with Fiddler’s AI Observability platform. Every project is a team effort, and every win is shared. If you love working alongside smart, driven peers who genuinely care about both customer success and each other’s growth, you’ll feel right at home here. Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities, and ensuring deployments are delivered on time, with precision, and with clear success criteria met. Be the trusted technical partner our customers rely on. You’ll build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler. Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management; to ensure customer feedback influences our product roadmap and long-term strategy. Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices improving model transparency, performance monitoring, and compliance across their ML lifecycle. Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines. Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time-to-value for new customers. Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact; whether through advanced observability use cases, expanded integrations, or deeper model governance, helping drive renewals and growth. Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5-7+ years of professional experience. 2+ years of hands-on experience deploying, monitoring, or maintaining ML models in production environments. Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences. Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities. Demonstrated collaboration across cross-functional teams—Product, Engineering, and Delivery—to drive customer outcomes. A customer-first mindset with empathy, curiosity, and a deep sense of ownership for delivering value. Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility. Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems. Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP). Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real-time scoring via REST APIs). Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent-based systems. For candidates in the San Francisco Bay Area, this role is a hybrid position requiring working from our Palo Alto office 3 days a week. US locations $160,000-$200,000 + equity San Francisco, New York City & Seattle $190,000-$230,000 + equity Competitive pay + equity Unlimited PTO Premium health, dental & vision (100% premium coverage for employees) 401(k) plan Monthly fitness reimbursement Paid parental leave Palo Alto HQ Vibes Annual Caltrain pass Monthly in-office massages Fastrak reimbursement Lunch provided Mon–Thurs The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors. Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process. Beware of job scam fraud. Our recruiters use @fiddler.ai email addresses exclusively. In the US, we do not conduct interviews via text or instant message, or ask for sensitive personal information such as bank account or social security numbers.

Block builds technology to increase access to the global economy. Across our ecosystem, including Square and Cash App, we create tools that help businesses run and grow, and individuals move, manage, and grow their money with confidence. Square empowers sellers of all sizes with integrated, omnichannel tools to accept payments, manage operations, access financial services, and reach customers across online and in-person channels. Cash App complements this by providing a fast, accessible financial platform for millions of people to send, spend, save, invest, and borrow, helping redefine how individuals interact with money.Operating at massive scale across both ecosystems means trust and safety are foundational. Our teams build systems that protect real people and businesses, safeguard financial activity, and ensure our products remain reliable, secure, and easy to use. Block is a global, distributed company with a culture rooted in ownership, creativity, and impact. Whether supporting sellers on Square or customers on Cash App, we’re united by a shared mission: to make the global economy more accessible and inclusive. The Role Block has provided over $200 billion in credit to customers globally. Afterpay and Cash App Borrow are our two largest products in this space, expanding access to credit for consumers who are often underserved by traditional financial systems. Machine learning is the core of how these products work. Our models decide who gets credit, how much, and under what terms. They underwrite customers across a wide range of credit profiles, including many with thin or no traditional credit history. The modeling challenges are real: maintaining calibration across diverse borrower populations, designing features that generalize as the portfolio grows, and balancing approval rates against loss performance at every decision point. This requires strong fundamentals, disciplined experimentation, and continuous evaluation in production. On the Credit Modeling team, you will be a senior individual contributor building and evolving the ML systems behind these products. You will work across the full modeling lifecycle: problem formulation, feature development, training, calibration, experimentation, deployment, monitoring, and iteration. You will operate across one of these lending products with different borrower populations, repayment structures, and regulatory surfaces. We use agentic engineering and AI tooling to build reliable, high-velocity workflows that enable this work. That includes code generation, automated testing, documentation, and developer tooling. You will help define how these practices scale across the team in ways that are rigorous, auditable, and trusted. This is a team that values high output and rigor. We move fast, we test carefully, and we hold our work to a high standard because the models we build determine real credit outcomes for real people. This role is fully remote for candidates based in the US or Canada. You Will • Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay., • Design and evolve credit decision frameworks, including the modeling, automation, and policy logic that manage credit exposure over time., • Design and run experiments to evaluate model performance, measure impact on approval rates and loss, and inform credit policy decisions., • Develop deep understanding of borrower behavior, repayment dynamics, and portfolio structure across both products, and use that to inform model design and decision logic., • Contribute analysis and perspective that inform portfolio-level decisions, including explaining model behavior, tradeoffs, and uncertainty to senior technical and business leaders., • Work across the full modeling lifecycle: problem formulation, feature engineering, training, calibration, deployment, monitoring, and iteration in production., • Build agentic engineering workflows that accelerate development, testing, and documentation., • Collaborate with Product, Engineering, Legal, Compliance, and Operations to ensure credit systems reflect business goals and regulatory expectations., • Share modeling context and approaches across teams, helping align how credit risk is measured, interpreted, and discussed., • Shape how AI developer tooling is adopted across the team, defining review practices, quality standards, and governance patterns. You Have • A Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science). Advanced degrees welcome., • 10+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains., • Experience with probabilistic models and decision systems, including calibration, score transformations, and interpretation of model outputs., • Strong experimentation skills: you know how to design holdouts, measure lift, and evaluate models beyond aggregate metrics., • Experience with model monitoring, degradation detection, and retraining strategies in production systems., • Proficiency with AI-native development workflows. You use LLMs, agentic coding tools, and AI-assisted automation as a regular part of how you build and ship., • Experience explaining modeling concepts, results, and limitations to senior stakeholders and cross-functional partners., • Experience working across disciplines in environments with meaningful constraints. Technologies We Use and Teach • Python (NumPy, Pandas, scikit-learn, PyTorch, XGBoost, LightGBM), • AI development tools as core infrastructure: Claude Code, Cursor, Copilot, • MLflow for experiment tracking and model registry, • Internal feature store and model hosting platform, • Prefect and Airflow for orchestration, • SQL / Snowflake, • GitHub, • GCP / AWS We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our _. Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location’s zone designation, please refer to this _. If a location of interest is not listed, please speak with a recruiter for additional information. Zone A: $276,800—$415,200 USD Zone B: $276,800—$415,200 USD Zone C: $276,800—$415,200 USD Zone D: $276,800—$415,200 USD

[. This position can be performed remotely from anywhere in Canada or the United States. Please visit for details regarding employment eligibility by country.] Quora’s mission is to grow the world's collective intelligence. To do so, we have two platforms: _: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others. _: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.4, Claude-Opus-4.6, Gemini-3.1-Pro, Nano-Banana-Pro, Veo-3.1, and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models. Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Quora product. Our product managers excel at and are responsible for guiding, enabling, and accelerating the efforts of our designers, engineers, and data scientists to build and ship successful products. Even though we've experienced significant growth, we're still a small team where each PM needs to own a significant portion of the product experience, so in this role, you'll have the opportunity to drive company-level impact, influence overall company strategy, and interface regularly with product leadership and the executive team. We're looking for a Product Manager to lead user growth initiatives across Quora's core product experience, focused on expanding our top-of-funnel acquisition, improving activation, and unlocking new growth levers across web and mobile. This includes defining strategic direction, aligning cross-functional teams, running a high-velocity experimentation program, and generating insights that inform long-term platform and channel strategy. Own the end-to-end strategy for user growth, with a primary focus on top-of-funnel acquisition, activation, and early retention across web and mobile surfaces Drive SEO-led growth for the web product, partnering with engineering, content, and data teams to improve discoverability, indexation, and organic traffic performance as a core acquisition channel Manage ambiguity, complexity, and cross-functional interdependencies in a fast-paced environment, doing what it takes to make the product successful Partner closely with engineering, design, data science, and product operations to define, build, iterate, and scale growth experiences Define objectives, metrics, and guardrails to guide prioritization and measure success Run structured experimentation across the funnel, using quantitative and qualitative insights to inform product strategy and roadmap Identify and unlock new growth levers; including referrals, lifecycle, and platform-specific opportunities to diversify channel mix and compound growth over time Availability for meetings and impromptu communication during Quora's “_" (Mon-Fri: 9am-3pm Pacific Time) 6+ years combined experience in Product Management Demonstrated experience driving user growth on a consumer product, with a track record of measurable impact on acquisition, activation, or retention metrics Excellent communication skills and intuition for communication strategy at every level -- within teams, within the company, to users, and other audiences Demonstrated ability to use qualitative and quantitative data to drive decisions and scale products through experimentation Experience working on user-generated content (UGC) platforms, marketplaces, aggregators, or content-driven consumer products Experience growing UGC products with heavy SEO traffic and a strong understanding of organic search as an acquisition channel BA/BS degree in Statistics or a related technical field or equivalent practical experience ideal At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture. We are accepting applications on an ongoing basis. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs. US candidates only: For US based applicants, the salary range is $196,080 - $298,300 USD + equity + benefits. Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $250,703 - $305,119 CAD + equity + benefits. For all other locations in Canada, the salary range is $233,989 - $284,778 CAD + equity + benefits. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team. To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding. Job Applicant Privacy Notice: _ #LI-SS2 #LI-REMOTE