Trabajos statistical analysis en Seattle, WashingtonCrear alertas

Job DescriptionAre you ready to revolutionize the advertising industry? At Cognitiv, we are not just another AdTech company—we are industry trailblazers redefining media buying with our Deep Learning Advertising Platform. Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science to transform how brands connect with their customers. Our mission? To bring intelligence to advertising and deliver unparalleled precision, relevance, and impact at scale. With our innovative platform, advertisers enjoy unprecedented flexibility—whether it is activating Dynamic Deals through their preferred DSP, leveraging our managed service DSP, or utilizing our industry-first ContextGPT product. As a part of Cognitiv, you will be at the forefront of AI-driven advertising solutions, driving change and achieving remarkable growth in a rapidly evolving industry.Now, we're growing!The RoleThe Bidding Performance Team at Cognitiv is a highly visible team at the center of our products. We are looking for a Sr. Data Analyst that has demonstrated stand-out capability to derive new understanding from a data ecosystem and collaborate cross functionally to translate that understanding into business impact. In our ecosystem, this is accomplished by generating new insights from bidding behavior in advertising campaigns to improve our overall approach to campaign management. Your day-to-day responsibilities include the application of in-depth analysis, performed by you, to campaigns as well as enhancing the team's operational monitoring capabilities. You should be comfortable analyzing, interpreting, and communicating results to upper management.As a key member of a visible team, you must be a strong communicator and an advocate for the insights you discover. These insights will have a broad impact across our business.LocationWe value in-person collaboration with team members and have a hybrid work schedule. This position will be located in our Bellevue, WA or in our New York City, NY office with 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).What You'll Do • Analyze large data sets to find patterns and actionable insights to help address performance issues and identify drivers of performance for campaigns. Deliver presentations of findings to technical and business stakeholders, • Help architect, plan, and implement how our team should approach analyzing marketing performance for new and existing products, • Collaborate with cross-functional partners to understand business needs and prioritize tasks accordingly, • Monitor campaigns, models and internal systems to understand bidding behavior and optimize campaign performance, • Enhance our team's monitoring capabilities through scheduled pipelines, dashboards and notebooks, • Set up and evaluate user-based and geographic experimentsWho You Are, • 5 years of experience using analytics to drive significant business impact, • Superior communication and collaboration skills, • Advanced proficiency with SQL, and practiced query efficiency, • Strong analytical and problem-solving skills, • Proficiency working with Python and experience doing so in a professional context, • Demonstrated ability to communicate results of analyses to technical and business audiences, • Experience describing the statistical relevance of insights, • Data visualization experienceBonus Points, • Experience with online marketing analytics, understanding of programmatic attribution, • Previous experience with very big data - billions or trillions of rows. Comfortable with navigating and making use of log files, • Solid understanding of experimentation, predictive analytics, and machine learning, • Tableau or similar business intelligence software experience, • Understanding of distributed SQL technologies, • Advanced degree in analytics or a technical fieldSalary, • $130,000-$170,000 Base Salary + EquityWhat We OfferCompensation is based on experience, skills, and other factors. Base salary is just one part of your total rewards at Cognitiv—you'll also receive equity and a comprehensive benefits package.Highlights include:, • Medical, dental & vision coverage (some plans 100% employer-paid), • 12 weeks paid parental leave, • Unlimited PTO + Work-From-Anywhere August, • Career development with clear advancement paths, • Equity for all employees, • Hybrid work model & daily team lunch, • Health & wellness stipend + cell phone reimbursement, • 401(k) with employer match, • Parking (CA & WA offices) & pre-tax commuter benefits, • Employee Assistance Program, • Comprehensive onboarding (Cognitiv University), • …and more!What You'll Find at Cognitiv, • Festiv – We make work fun with cross-team games, events, and creative team bonding., • Responsiv – You'll be close to clients and leadership, influencing real outcomes., • Inclusiv – Diversity and individuality are celebrated across all levels., • Inventiv – We reward curiosity and embrace bold ideas., • Transformativ – We support your growth with training, mentorship, and flexibility., • Collaborativ – We operate across coasts, connected by purpose and teamwork.Cognitiv is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all.

Job Description Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: Impinj is seeking a Principal Machine Learning Engineer specializing in Applied Algorithms to join our Platform Engineering team. This role will work closely with an interdisciplinary team that researches and develops innovative RAIN RFID solutions at massive scale. In this position, you will work in collaboration with our Platform Software, Hardware, and Systems Engineering teams to design and develop experimental RAIN RFID algorithms and model our Platform Solutions, which are foundations of our enterprise engagements. The Platform Engineering team works closely with our Enterprise customers and outside partners to drive optimizations in tool-building development and deployment of RAIN RFID solutions. Our platform of tags, readers and gateways, and software is what allows us to give a digital identity to billions of everyday items. If you have a passion for using technology to spectacularly change the way companies run their business, this is the role for you. What you will do: • Leverage your Machine Learning and Algorithms development to research, develop and deploy RAIN solution algorithms to address our enterprise customer needs, • Pioneer new RAIN RFID applications that help customers solve real world problems across different use cases and industries, • Collaborate with multi-functional partners, such as our Software, Hardware and System Engineering teams and Go-to-Market team to design effective machine learning solutions, • Collaborate with outside partners and customers to develop and deploy novel RAIN RFID solutions based on the Impinj platform, • Create metrics and configure A/B testing to evaluate model performance offline and online to advise and convey our impacts to technical and non-technical collaborators, • Staying up-to-date with the latest machine learning research and techniques, and incorporating them into your work as appropriate, • Create proof of concept demonstrations for customers and partners to show potential uses of our RAIN RFID platform, • Leverage the insights derived from data coming from enterprise customer deployments to assess and improve system performance and build system behavior models, • Document the algorithm development process and communicate results effectively to team members and key stakeholders. This includes writing technical reports, creating visualizations, and presenting findings., • Redefine raw data into a high-quality, structured format, including data cleaning, correcting errors, handling missing values, integrating data from multiple sources, creating new engineered features, and scaling variables to enhance model performance and ensure accurate, reliable predictions., • Operate with a hybrid working environment with a few days of the week working from our Lab in North Beacon Hill and/or our office in South Lake Union with the rest of the time working from homeWhat you will bring:, • Bachelor's degree in Computer Science or related technical field, • At least 15 years of experience building end-to-end machine learning products, from data gathering, to model training and tuning, to deploying to production and monitoring its performance., • Algorithm design: implementation of machine learning algorithms and models, customization of traditional and state of the art models to fit specific problems, performance optimization through hyperparameter tuning, and evaluation of scalability, paying specialattention to efficient implementations, rigorous testing, and iterative refining models based on performance metrics and feedback., • Advanced Programming Skills: Proficiency in languages such as Python, R, C++, along with experience in machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn, • Advanced understanding of linear algebra, calculus, probability, and statistics aided to the development and analysis of machine learning models. This includes knowledge of matrix operations, differentiation and integration, probability distributions, and statistical inference, enabling the creation of robust algorithms and accurate predictions from complex data set., • Demonstrated experience in version control systems like Git for tracking changes and collaborating on code., • Good understanding of the software development lifecycle, structured project management, collaborative coding practices (such as code reviews and pair programming), and continuous enhancement of code quality., • Experience with algorithm optimization, parallel processing, and efficient data structures to ensure scalable, high-performance applications. The typical base pay range for this role across the US is $168,000 - $267,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally. Senior Data Scientist About The Nuclear Company The Nuclear Company (TNC) is transforming the nuclear energy sector by streamlining execution, leveraging advanced technology, and fostering a strong culture of safety, quality, and operational excellence. TNC operates as a fleet-scale nuclear power developer, bringing a disciplined, execution-focused approach to an industry that has historically struggled with cost overruns and schedule delays. By leveraging proven technologies and innovative digital solutions, we're building nuclear plants faster, cheaper, and safer than ever before. We believe that detailed, executable plans—constantly evaluated and refined—are central to achieving long-term success. Our dedicated teams work in parallel across all phases, ensuring the readiness and smooth execution of the entire project. About Nuclear OS & AI/ML at TNC In partnership with Palantir Technologies, TNC is developing Nuclear OS - a secure, AI-native digital platform that serves as an integrated operating system for managing every aspect of nuclear plant construction and commissioning. Nuclear OS is built to be an AI-native platform – meaning advanced analytics and machine learning are woven into its core functionalities rather than being afterthoughts. By leveraging AI/ML, the platform helps project teams make smarter decisions faster, uncover patterns that humans might miss, and automate routine tasks. Advanced analytics and machine learning algorithms form the "brain" of the system, analyzing data across projects to optimize schedules, flag risks, and improve each new plant based on prior lessons learned. Position Overview We're seeking a Senior Data Scientist to join our Nuclear OS team and build the AI/ML capabilities that will transform nuclear construction. This senior-level position offers the unique opportunity to develop predictive analytics and machine learning models that learn from historical and real-time data to predict future outcomes, detect anomalies, and optimize nuclear project delivery. You'll work with cutting-edge AI/ML technologies and data integration platforms, deploying models that directly impact the efficiency, safety, and cost-effectiveness of fleet-scale nuclear deployment. Key Responsibilities • Predictive Analytics Development: Host and develop various ML models that learn from historical and real-time data to predict future outcomes or detect anomalies, including schedule slippage prediction, equipment failure forecasting, and risk assessment, • AI Model Development & Deployment: Develop, train, and deploy machine learning models within the Palantir Foundry environment, managing model development, training, and inference at scale while ensuring models operate on governed, quality-controlled data, • Anomaly Detection & Optimization: Introduce ML algorithms on numeric datasets to identify outliers or predict issues, applying time-series anomaly detection to identify unusual fluctuations that could indicate problems, • Algorithm Optimization: Fine-tune and optimize predictive analytics algorithms to improve the accuracy of fault detection and predictive maintenance, adjusting machine learning models based on historical data to enhance prediction accuracy, • AI-Driven Decision Support: Build AI capabilities that augment human decision-making with AI intelligence, helping project managers identify potential risks before they become problems and enabling real-time adaptation to prevent cost overruns, • Data Analysis & Visualization: Perform comprehensive data analysis and create visualizations that communicate insights to stakeholders, enabling data-driven strategy and decision-making, • Model Training & Continuous Improvement: Train models on historical data from previous construction projects and continuously improve them with incoming data from ongoing projects, scheduling retraining as new data accumulates, • Cross-Project Learning: Develop fleet-wide learning capabilities where data from each project is aggregated to enable performance benchmarking and cross-project AI, creating a self-improving fleet deployment model, • AI/ML Infrastructure: Build and maintain pipelines for training and running models at scale using Python ML libraries (TensorFlow/PyTorch), ensuring auditability and transparency of outputs, • Simulation & What-If Analysis: Develop simulation engines and what-if analysis tools to simulate schedule adjustments or supply chain disruptions using unified data from the ontology Experience: • 7-12 years of experience in data science, machine learning, or advanced analytics, • Proven track record of developing and deploying production ML models at scale, • Machine Learning: Deep expertise in AI/ML systems, including supervised and unsupervised learning, time-series analysis, and anomaly detection, • Programming: Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) for model development and deployment, • Data Platforms: Familiarity with machine learning frameworks and model deployment; experience with Palantir Foundry or similar data integration platforms preferred, • Analytics & Visualization: Strong skills in data analysis, statistical modeling, and data visualization tools, • Model Operations: Experience with MLOps, model versioning, monitoring, and continuous training pipelines, • Strong analytical and problem-solving skills with ability to translate business problems into data science solutions, • Excellent communication skills to explain complex technical concepts to non-technical stakeholders, • Ability to work independently and lead data science initiatives, • Experience with A/B testing, experimentation, and statistical analysis, • Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field, • Experience in construction, manufacturing, or other complex project-based industries, • Knowledge of digital twin concepts and IoT sensor data analysis, • Familiarity with natural language processing and large language models, • Experience with AI-driven forecasting and optimization in regulated environments, • Background in causal inference and econometric modeling, • Experience with graph neural networks or knowledge graph applications, • Understanding of nuclear industry operations or highly regulated industries, • Meaningful Impact: Build AI systems that directly enable clean energy deployment and address climate change, • Cutting-Edge Technology: Work with the latest AI/ML technologies and data integration platforms, including Palantir Foundry and advanced analytics tools, • Unique Data Challenges: Work with diverse data sources ranging from Primavera schedules to BIM models and IoT sensor telemetry Fleet-Scale Learning: Build self-improving systems where every construction cycle feeds into a central knowledge base, • Professional Development: Continuous learning opportunities and exposure to nuclear industry expertise, • Culture of Excellence: Join a team committed to safety, quality, and operational excellence At TNC, every individual is personally accountable for both nuclear and industrial safety, with decision-making consistently prioritizing safety. We embrace organizational learning, a questioning attitude, and the continuous evaluation of lessons learned. We are unwavering in our dedication to ethical business practices and committed to fostering a culture where integrity is the foundation of all business activities. Benefits • Competitive compensation packages, • 401k with company match, • Medical, dental, vision plans EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination. Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.

Job DescriptionAircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in As a Senior Security Engineer, Detection and Response you will contribute to develop, scale, and evolve Aircall’s threat detection and response capabilities. Take ownership of building detections from scratch, leading investigations, and driving the maturity of our detection program.Responsibilities • Lead end-to-end development of detection logic: from threat modeling and hypothesis to writing, testing, tuning, and deploying detection rules and alerts (across logs, telemetry, host, network, cloud)., • Build detection pipelines, orchestration, triage logic, and automation for alert handling and response (e.g. SOAR, playbooks)., • Conduct threat hunts proactively in corporate and production environments, discovering anomalies and attacker behaviors before they escalate., • Lead incident response: investigate, contain, remediate, and perform root cause analysis. Drive post-incident reviews and feed lessons learned back into detection strategy., • Assess and fill gaps in visibility—work with engineering teams to ensure logging, instrumentation, and context are sufficient to detect relevant threats., • Evolve detection maturity: turn simple signature-based alerts into more advanced behavioral, statistical, ML-driven, and adversary-informed detections, in line with detection engineering maturity models., • Author and maintain detection documentation, runbooks, alert definitions, tuning guidelines, and metrics., • Collaborate cross-functionally (Engineering, Product, Fraud, Privacy and Legal) to align detection and response work with product lifecycles and system architecture., • Be part of on-call rotations or threat-response rotations; escalate, coordinate, and remove blockers during high-severity events., • Stay up to date on attacker techniques (MITRE ATT&CK, red team reports, threat intel) and propose new detection patterns or responses accordingly., • Participate in hiring, interview evaluation of Security and Infrastructure engineering candidates, and team growth.Minimum Qualifications, • 5+ years of hands-on experience in security operations, detection engineering, incident response, threat hunting, or similar fields (or equivalent combination)., • Deep knowledge of adversarial tactics, techniques, and procedures (TTPs), threat actor behavior, kill-chain or MITRE ATT&CK framework., • Proven experience building detections from scratch (versus just tuning commercial alerts)—i.e. you can turn a hypothesis or a threat intel indicator into a production-quality detection with low false positive rate., • Hands-on experience with SIEM or log analytics platforms (e.g. Elasticsearch, Splunk, Datadog, AWS Athena, OpenSearch or equivalent), and alerting/monitoring tooling., • Proficiency with a programming or scripting language (e.g. Python, Go, or similar along with IaC - Terraform, Ansible) to build detection pipelines, automations, triage logic, or tooling, • Experience in digital forensics, host-based detection, endpoint telemetry, process/network visibility, cloud observability (logs, metrics, traces)., • Comfortable working in cloud-first environments (AWS, GCP, Azure) and instrumenting detection across cloud workloads, containers, serverless, etc., • Experience responding to incidents (investigating logs, creating timelines, root cause, containment) in production environments., • Familiarity with security automation / orchestration (SOAR), playbooks, response automation, and alert triage workflows., • Strong communication skills; ability to translate complex detection logic, trade-offs and risk to engineers and leadership., • High degree of autonomy, initiative, and ownership; ability to drive entire initiatives with minimal oversight.Preferred Qualifications, • Experience with data analysis, statistics, anomaly detection, or relevant ML/heuristic techniques is a strong plus., • Experience evaluating detection efficacy (precision, recall, signal-to-noise, tuning over time), • Experience evolving detection maturity models (from basic rules to advanced behavioral detections)

Job Description Job Title: Accounting Manager Location: Bellevue, WA (100% on-site) Pay Range: $85,000 - $105,000 annually (depending on experience) About Us: Kizuki Ramen & Izakaya is a locally owned Japanese-style ramen restaurant committed to authenticity and excellence. With over 15 locations across four states, we are passionate about fostering growth for both our team and our business. About the Role: We are seeking an experienced Accounting Manager to join our team at the Support Center in Bellevue, Washington. Reporting directly to the CEO, the Accounting Manager will oversee, plan, and execute all accounting operations, ensuring the company’s compliance with federal, state, and local financial regulations. This role will collaborate closely with upper management and cross-functional teams to support fiscal objectives and drive company growth. This position offers flexible working hours within standard business hours (8 AM–6 PM), paid time off, paid holidays, employee discounts, and comprehensive benefits. Key Responsibilities: • Directs and manages all accounting activities up to and including Accounts Payable, Accounts Receivable, payroll, financial statements, and management reporting, • Prepares, manages, and keeps current a formal monthly closing process, • Contributes to attainment of budget objectives by scheduling expenditures, analyzing budget variances, and recommending corrective plans and actions, • Optimizes staff work performance by planning, monitoring and appraising work performance through coaching, counseling, and mentoring of team members, • Protects assets by establishing, monitoring, auditing, and enforcing internal controls, • Works with upper management to recognized, monitor, and come up with dynamic solutions to resolve financial problems as they arise, • Guides financial decisions by establishing, monitoring, auditing, and enforcing policies and procedures, • Coordinates external audit information flow with external auditors, • Minimum of 3 years’ experience: managing accounting processes and software, developing policies and procedures, managing audits, analyzing business results, developing budgets, and performing budget vs. actual analysis (quantitative, qualitative), • Supervisory / management experience preferred, • Outstanding financial, analytical, and statistical technical skills, • Experience with the restaurant industry preferred, • Excellent communication skills and ability to communicate with internal and external customers, • Bachelor’s degree in Accounting, Finance or related field required.

Job DescriptionDescription: The Dobbs Truck Group is a growth company that successfully expands our operations and customer base through a high-quality team of employees. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. These dealerships represent some of the best commercial truck brands including Peterbilt, Volvo, Mack, Autocar, and Hino and include locations in Arkansas, California, Louisiana, Mississippi, Oregon, Tennessee, and Washington. We offer a competitive benefits package including medical, dental, vision, long-term disability, life insurance, and 401(k), as well as paid vacation and sick leave. Our Company is looking for long-term employees that we can invest in and grow with as we pursue our mission of being the premier commercial truck dealer group. I. General Job Description This position will be responsible for the management of the assigned Service Department operations with the objective of achieving planned sales and profitability objectives while adhering to the Company’s established procedures for business conduct, safety, and personnel administration. The duties listed below are intended only as illustrations of the various types of work that may be performed. The omission of specific statements of duties does not exclude them from the position if the work is similar, related, or a logical assignment to the position. Responsibilities • Assist in developing an annual department business plan and continuous improvement plans., • Manage staffing levels and assigned work hours to meet customer needs and maximize profitability., • Recruit, interview, hire, provide feedback, document performance, and promptly address issues., • Assess daily work operations to enhance the department's efficiency and productivity., • Assure technician certification and training are kept current and meets product demands., • Manage the process of opening repair orders including customer signatures, estimates, and payment methods in advance of work initiation., • Work closely with Parts Manager to ensure the timely ordering, stocking, and receiving of shop parts., • Implement corrective action when internal processes cause costly delays and excessive downtime., • Assure 100% compliance to Company’s credit and cash management policies., • Complete repair order reviews and closures of less than 3 days from work completion for non-warranty., • Manage warranty repairs per Peterbilt, Caterpillar, Cummins, Eaton, and TRW authorization and warranty parts return requirements, as well as forward warranty repair orders to Warranty Administrator within 2 business days of work completion., • Monitor the quality of work to ensure high customer satisfaction and minimal repair comebacks., • Manage customer relation issues in a professional, productive, and prompt manner., • Ensure shop equipment and tooling is properly controlled and secured., • Initiate purchase orders for shop equipment and obtain authorization for expenditure as required., • Monitor safety and environmental compliance and advise senior management of potential risks., • Manage assigned fleet including preventative maintenance, repair processes, and work analysis., • Ensure vehicle maintenance tracking system is continually updated., • 18 years of age., • High school graduate, GED, or 1 year of work experience., • OEM management experience (PACCAR)., • Intermediate to advanced knowledge off Microsoft Excel, Word, and Outlook., • Comprehension: Ability to understand opposing points of view on highly complex issues, negotiate, and integrate different viewpoints., • Organization: Ability to organize and prioritize work schedules of others on long-term basis., • Reasoning & Decision Making: Ability to make decisions with significant impact on department’s credibility, operations, and services., • Communication: Ability to formulate complex and comprehensive materials, such as legal documents, authoritative reports, official publications of major scope and impacts, and make formal presentations. The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to handle or feel, reach with hands and arms, and talk or hear. The employee is frequently required to stand, walk, climb or balance, stoop, kneel, crouch or crawl, and taste or smell. The employee is occasionally required to sit. The employee must regularly lift and/or move up to 25 pounds, frequently lift and/or move up to 50 pounds, and occasionally lift and/or move up to 65 pounds. Specific vision abilities required by this job include color vision, peripheral vision, depth perception, and the ability to adjust focus. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts and risk of electrical shock. The employee is frequently exposed to wet and/or humid conditions, extreme heat, and vibration. The employee is occasionally exposed to high, precarious places, fumes or airborne particles, toxic or caustic chemicals, and outside weather conditions. The noise level is normally loud. VI. Common Expectations of Performance for all Employees The following includes common expectations for all employees of the Company. The evaluation of job performance will be based on these common expectations as well as the position-specific responsibilities described above. Communications, Teamwork, and Feedback to Others • Contribute to a work environment that is based on trust and respect., • Have discussions on a regular basis with their manager to discuss opportunities to best achieve individual performance objectives and departmental goals., • Suggest ways to improve the efficiency of conducting their job duties., • Promote continuous improvement and change to support company growth., • Mentor others unselfishly., • Adhere to the policies contained in the Employee Handbook., • Adhere to the Company’s Employee Conduct Policy., • Support management decisions toward meeting company goals., • Be open and receptive to new ideas, regardless of their origin. Dobbs Truck Group operates 25 commercial truck dealerships through two operating companies – Dobbs Peterbilt and Western Truck Center. Dobbs Peterbilt and Western Truck Center are equal opportunity employers that values a broad diversity of talent, knowledge, experience, and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. Dobbs Peterbilt and Western Truck Parts do not discriminate in hiring or employment on the basis of race, color, religious creed, national origin, sex, ancestry, pregnancy, genetic information, gender identity, sexual orientation, or marital status; or on the basis of age against persons whose age is 40 and over, or on the basis of physical or mental disability; or to disabled veterans or to Vietnam veterans. We are proud to be an affirmative action employer and encourage minorities, women, individuals with disabilities, and veterans to join our team. Requirements:

Job Description Manufacturing Engineer Job Description As a First Line Support - Manufacturing Engineer, you will be at the forefront of building, testing, qualifying, and producing the next generation of spacecraft. You will leverage cutting-edge technology and innovative solutions to address complex manufacturing and engineering challenges daily. Your role will involve responding to technical challenges faced by the production team, converting troubleshooting efforts into structural improvement projects, and enhancing the overall production process. Responsibilities • Support operations teams as the first technical point of contact for production disturbances, finding structural solutions to prevent recurrence., • Process defective material for engineering evaluation to determine the path forward., • Modify shop orders to enable continuous production execution., • Familiarity with Low Rate Manufacturing Environments and New Product Introduction., • Knowledge of Lean manufacturing practices and principles., • Experience with Root Cause Analysis Techniques such as Fishbone, Fault Tree, and DMAIC., • Strong analytical skills., • Strong communication and writing skills., • Experience with Electrical System Design and Metrology., • Experience with SAP or similar ERP software., • Experience with NX Unigraphics or similar CAD software., • Experience with Aerospace and/or Optical Manufacturing., • Experience with Python Programming Language., • Experience with Fiber Optic Systems. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Redmond,WA. Application Deadline This position is anticipated to close on Dec 19, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email for other accommodation options.

Job Description This position is a hybrid location. It is remote from home, besides quarterly in-person meetings in our Seattle office. Who we are Community Health Plan of Washington is an equal opportunity employer committed to a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to any actual or perceived protected characteristic or other unlawful consideration. Our commitment is to: • Strive to apply an equity lens to all our work., • Reduce health disparities. The Senior Healthcare Actuary will be responsible for developing and monitoring risk and rating assumptions and will lead required state and federal documentation pertaining to actuarial assumptions used in pricing of the products. The Senior Healthcare Actuary will provide management with analyses, reporting and recommendations on product performance. Other responsibilities include calculation/review of reserves and forecasting/trend analysis. To be successful in this role, you: • Have a Bachelors degree in Actuarial Science, Statistics or Mathematics., • Have a current Associate of the Society of Actuaries (ASA) or Fellow of the Society of Actuaries (FSA) credential., • Have a minimum of eight (8) years working as Healthcare Actuary preferably at or on behalf of a health plan in managed Medicaid and/or Medicare Advantage and/or Individual & Family lines of business., • Have experience in all aspects of health care actuarial practice including pricing, reserving, and forecasting., • Responsible for interpreting state and federal requirements related to product design, rate development, and premium stabilization programs., • Completes actuarial modeling including development of lag triangles, completion factors, trends and reserve requirements., • Manages federal actuarial filings., • Manages state actuarial pricing submissions and review of proposed rating assumptions., • Designs and builds complex data models., • Performs quantitative analysis of actuarial, financial, utilization and cost data., • Responsible for reviewing work of outside actuarial consultants to ensure accuracy and compliance with state and federal requirements., • Manage projects from inception to completion., • Knowledge of recent healthcare related legislation, • Project management skills., • Data analysis skills, including skilled in analysis of large data sets., • Skilled in using Microsoft Office programs. Including Microsoft Excel spreadsheets and database applications., • Communication skills including oral presentations and written reports., • Ability to develop strong working relationships with state, federal, and consulting actuaries., • Has not been sanctioned or excluded from participation in federal or state healthcare programs by a federal or state law enforcement, regulatory, or licensing agency., • Vaccination requirement (CHPW offers a process for medical or religious exemptions) The position is FLSA Exempt and has a 10% annual incentive target based on company, department, and individual performance goals. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s job-related knowledge, skills, and experience among other factors. CHPW offers the following benefits for Full and Part-time employees and their dependents: • Medical, Prescription, Dental, and Vision, • Telehealth app, • Flexible Spending Accounts, Health Savings Accounts, • Basic Life AD&D, Short and Long-Term Disability, • Voluntary Life, Critical Care, and Long-Term Care Insurance, • 401(k) Retirement and generous employer match, • Employee Assistance Program and Mental Fitness app, • Financial Coaching, Identity Theft Protection, • Time off including PTO accrual starting at 17 days per year., • 40 hours Community Service volunteer time, • 10 standard holidays, 2 floating holidays Sensory*: • Extended periods of sitting, computer use, talking and possibly standing, • Simple grasp, firm grasp, fine manipulation, pinch, finger dexterity, supination/pronation, wrist flexion, • Frequent torso/back static position; occasional stooping, bending, and twisting. Office environment Employees who frequently work in front of computer monitors are at risk for environmental exposure to low-grade radiation.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements • Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling., • Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying., • Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn)., • Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow)., • Strong analytical skills and the ability to work with large datasets to extract meaningful information., • Experience in data preprocessing, feature engineering, and model evaluation., • Excellent problem-solving abilities and strong communication skills to present findings effectively. About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job DescriptionAt IUNU (“you knew’), we’re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry. Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • 3-5 years of proven experience as a Machine Learning Engineer or a similar role, • Strong experience with Deep Learning, • Understanding of data structures, data modeling, and software architecture, • Deep knowledge of math, probability, statistics, and algorithms, • Ability to write robust code in Python, Java, and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills eJVMiKCwhq

Job DescriptionWho we are: Want to make an impact? Join our pack and come work (and play!) with us. We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them. Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees. This is a hybrid position that has the minimum expectation to work out of our Downtown Seattle Office two days per week on Mondays and Thursdays. For this reason, candidates must be based in the Greater Seattle Area or willing to relocate. Additionally, applicants must be currently authorized to work in the United States on a full-time basis, without the need for current or future employer sponsorship for an employment-based visa status. About the Role: As a Business Analyst on the Supply Data Science Team, you will co-pilot with data scientists to unearth and implement the next big opportunities for supply-demand balance and retention in the Rover marketplace. You will be a strategic leader across the full project lifecycle, from ideation to value realization. This function, rooted in analytics, will also actively build and develop your skills toward roles in Product Management or Technical Program Management. Marketplace Strategy & Insight: Become the expert on marketplace health, diving deep into the data to reveal trends in supply-demand dynamics, sitter engagement, and retention. Project Design & Justification: Lead the ideation and initial business case (ROI modeling) for complex projects, ensuring a clear path for value creation. Drive Execution & Coordination: Enable smooth project execution through detailed planning and effective cross-team coordination, ensuring projects stay on track even when faced with learning pivots or unexpected impediments. Measure & Forecast: Perform statistical analysis to evaluate marketplace experiments and forecast future trends. Build Data Foundations: Design, build, and maintain robust data pipelines to ensure the reliability and accessibility for complex marketplace monitoring and data science model production. Who we're looking for:We are looking for people who understand that behind every data point there is a pet and a person. You are passionate about our core business and will instinctively dig into every aspect of what it means to be a pet sitter and a pet owner on the Rover platform. You are excited to drive real value to the end user (and thus the business) and work in a fast-paced, collaborative environment. Your Qualifications: • 2+ years of professional experience in Business Analysis or a related data-focused role., • High proficiency in SQL and BI visualization tools (e.g., Tableau, Looker, Mode, etc.) to construct clear and compelling data narratives, • Proven background in data-informed decision-making and using analytical insights to directly influence roadmaps and prioritization., • Demonstrated experience in end-to-end project management, involving active coordination and successful delivery with diverse cross-functional business partners., • Understanding of foundational statistical concepts of significance and hypothesis testing, • Strong written and verbal communication skills, with the ability to break apart complex analyses for non-technical stakeholdersNice to Have:, • Two-sided marketplace experience, • Experience designing and evaluating results of A/B tests, • Familiarity with modern data tools and event-based datasets (e.g. Amazon Redshift, DBT, Statsig, Amplitude), • Experience working directly alongside data scientists or data engineers developing data science models and applications, • Skills or interest in product or technical program management Benefits of Working at Rover.com, • Competitive compensation, • 401k match, • Flexible PTO, • Competitive benefits package, including medical, dental, and vision insurance, • Commuter benefits, • Bring your dog to work (and unlimited puppy time), • Doggy benefits, including $1000 toward adopting your first dog, • Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly, • Regular team activities performed in-person and virtuallyCompensation:, • In the greater Seattle area the first-year salary range is $83,931-$108,167. Additionally, Rover offers a long-term incentive plan with a company performance-based cash payout and benefits to full-time employees.

Job DescriptionDescription: Join the team shaping the future of healthcare! Medbridge is a dynamic software company working with the country’s largest healthcare providers to build technology solutions helping patients get better faster, while decreasing the overall cost of care. Our Product team is growing and looking for a Senior Product Manager of Patient Reported Outcomes to join us, reporting to the VP of Product. We hire in the following states: AZ, CO, CA, FL, ID, GA, IL, NH, KS, MA, MI, MN, NC, NY, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI. As the Senior Product Manager of Patient Reported Outcomes, you will own the end-to-end vision, strategy, and delivery of our Patient-Reported Outcomes platform. This product sits at the heart of our analytics suite, powering data visualization, benchmarking, risk-adjustment, and data-sharing capabilities. You will help identify and implement AI and advanced analytics capabilities and push Medbridge forward into our future as an insights company, driving outcomes for patients, clinicians and organizations alike. You will champion a strong data culture and advocate for best practices, making an impact across the entire organization. Why work at Medbridge? • We are mission driven. At Medbridge, our mission is clear - we want to help everyone move well, feel well, and live well., • You’ll make an impact here. 300,000+ clinicians use our products daily, impacting millions of patients. In this role, you help create experiences that impact these important leaders., • Develop and articulate a clear vision and strategy for Medbridge’s patient reported outcomes platform., • Lead cross-functional delivery – work hand-in-hand with a team of engineers, designers, and analysts to turn high-level requirements into shippable features on schedule., • Collaborate with data engineers, analysts, and stakeholders to design and implement scalable, robust, and accurate data solutions, identifying and integrating disparate data sets to create a cohesive and comprehensive data environment., • Translate complex data uses, relationships, and customer and stakeholder needs into clear product requirements documents, user stories, functional specifications, and acceptance/quality criteria for new features and products., • Data visualization – Create intuitive, purpose-driven visualizations that surface insights across multiple use cases., • Partner with head of AI, engineering, and analytics teams to identify, define, and implement AI and advanced analytics capabilities, including predictive modeling, machine learning, and customer insights., • Own data governance & quality – champion rigorous data-validation, privacy, and compliance processes to ensure the integrity of patient-reported outcomes used for benchmarking and reporting., • 5 years and above Product Manager experience, • Healthcare experience ideally with patient reported outcomes, but minimally roles that required deep understanding of clinical workflows, outcomes measurement, or health-system operations., • Data-savvy product leader – proven ability to design, ship, and iterate on data-heavy products, with comfort discussing statistical methods, risk-adjustment models, and benchmarking frameworks., • Technical fluency – hands-on experience building meaningful analysis and visualizations for stakeholders. Familiarity with SQL, data-modeling, data pipelines, and analytics dashboard development., • Strategic thinker & storyteller – can distill complex clinical concepts into compelling product narratives for both technical and non-technical audiences., • Experience collaborating directly with customer decision makers and their teams., • Team player who thrives in dynamic, outcomes-driven environments., • Direct experience with Patient-Reported Outcome Measures (e.g., PROMIS, SANE, KOOS, HOOS, etc.), • Exposure to risk-adjustment methodologies and health-economics modeling., • Prior work in health-tech startup environment., • Data management/governance experience., • Familiarity with machine learning, natural language processing, and predictive analytics., • Excellence: A job worth doing is a job worth doing RIGHT., • We believe that excellence is never an accident. It’s the result of high intention, sincere effort, and intelligent execution., • We are change-makers who push the boundaries of what is possible, continually reimagining patient care., • We realize that our work impacts people’s health and demands that we hold ourselves to the highest possible standards., • We know a good thing when we see it; when exceptional talent comes our way, we hire them and help them grow., • We understand the value of time, and we give our best effort everyday because we have a day in which to give it., • Fortitude: Our goals are big. Our dedication is bigger., • We embrace ambitious and challenging projects with confidence in our ability to achieve them together., • We are courageous as we venture into the unknown., • We persevere in the face of difficulties., • We do not let perfection be the enemy of progress; we focus on taking the next best step forward., • We take ownership of our mistakes and of our successes, and we learn from both., • Service: We work for something more important than ourselves., • We care deeply about our colleagues, customers, and patients, ensuring our work at Medbridge has a lasting impact., • We take a multi-disciplinary, data-oriented approach to solving problems., • We lead with confidence and humility, embracing a servant-leadership mindset as we support and challenge one another to reach our shared goals. At Medbridge, salary ranges are assigned to a job based on 3rd party salary benchmark surveys. Individual pay within this range is informed by the candidate's skills, capabilities and experience. We embrace diversity and are 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, disability, or status as a protected veteran. No matter your background, your orientation, your identity expression, or whatever else makes you unique, if you want to raise the bar and join an amazing team of passionate people, then we'd love to work alongside you at Medbridge. Now it’s your turn. If you liked what you’ve read and think Medbridge would be a great career choice for you, apply now and our Talent Acquisition team will follow up with you shortly after. Requirements:

Job DescriptionSterling is partnering with a leading solar manufacturing company to hire a Process and Manufacturing Engineering Manager for their state-of-the-art facility in the Greater Seattle Area, WA This is a high-impact leadership role focused on driving process optimization, statistical capability, and new product introductions in a fast-paced, highly automated environment. Location: Burlington, WA (Relocation Assistance Available) Employment Type: Full-TimeCompensation: $100,000 – $130,000/year + 15% Annual Bonus Eligibility Key Responsibilities: • Lead, mentor, and grow a high-performing engineering team, • Foster a culture of accountability, innovation, and technical excellence, • Influence and motivate individual contributors toward shared goals, • Apply SPC (Statistical Process Control) and DOE (Design of Experiments) to optimize manufacturing processes, • Conduct Process Capability Analysis to ensure Six Sigma-level performance during product ramp-up, • Use VSM (Value Stream Mapping) to identify and eliminate inefficiencies, • Interpret and apply statistical data—not just collect it—to validate and scale processes, • Collaborate with R&D and operations to transition new designs into full-scale production, • Ensure statistical process capability is achieved early in the product lifecycle, • Lead or contribute to DFSS (Design for Six Sigma) projects from concept to launch, • Oversee equipment installation, debugging, and continuous improvement, • Manage budgets, timelines, and deliverables for engineering projects, • Troubleshoot automation systems, robotics, PLCs, and HMIsQualifications:, • Bachelor’s or Master’s in Mechanical, Mechatronics, Industrial, Electrical, Electronics, or Manufacturing Engineering, • Minimum 3+ years of leadership experience in automated manufacturing, • Experience with Six Sigma Black Belt-level projects (certification not required), • Proven ability to apply statistical tools to real-world manufacturing challenges, • Experience with SPC, DOE, Process Capability Analysis, and VSM, • Strong leadership in fast-paced, highly automated environments, • Excellent communication, project management, and problem-solving skills, • Competitive salary + 15% annual bonus, • Relocation assistance, • Paid vacation, sick leave, and holidays, • Medical, dental, and vision insurance, • Tuition reimbursement, • Employee recognition and solar panel purchase programs, • Employee Assistance Program

Job DescriptionPosition Title: Senior Business Intelligence Analyst Base Salary: $99,250 to $126,450 annually DOE Benefits - Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off, parental leave, quarterly performance bonus, training, career growth, and education reimbursement programs. At Ziply Fiber, our mission is to elevate the connected lives of our communities every day. We are delivering the fastest home internet in the Northwest, with a focus on areas traditionally underserved by mainstream internet companies. And as our state-of-the-art fiber network expands in WA, OR, ID and MT, so does our need for team members who can help us grow and realize our goals. We may be building internet, but we are reaching real people. We strive to build relationships and provide customers and communities with refreshingly great experiences. We emphasize our values in all our interactions: Genuinely Caring: Our customers and colleagues are people, and quite possibly our neighbors. We put ourselves in their shoes and give them our full attention. Empowering You: We empower our customers to choose the products that best meet their needs, and we support our employees to implement solutions that elevate the experiences of our customers and coworkers. Innovation and Improvement: We always look for ways to make the experiences of our customers – and each other – better. Earning Your Trust: We earn trust by communicating simply and transparently as real people, not as a corporation. Job Summary The Senior Business Intelligence Analyst is responsible for analyzing trends in business unit data and developing dashboards for leadership to understand and monitor the business. The ideal candidate will be very strong in visualization of data and understanding and proactively anticipating customer needs. The Senior Business Intelligence Analyst will have a general business understanding to support various business unit organizations such as operations, marketing, sales, or finance. You will grow your understanding of the business to proactively deliver insights to customer organizations. Essential Duties and Responsibilities: The Essential Duties and Responsibilities listed below are a range of duties performed by the employee and not intended to reflect all duties performed. Data Analysis & Insights • Work with and manipulate large, complex datasets for analysis and report creation., • Deliver on multiple initiatives in the same time frame., • Performs other duties as required to support the business and evolving organization. Required Qualifications: • Bachelor’s degree in Business, Computer Science or related field., • Minimum of five (5) years of experience analyzing large data sets using your strong SQL skills., • Ability to understand and explore data warehouse schemas., • Experience with operations or logistics systems, software, and data., • Expertise in data visualization tools and BI platforms, • Intermediate knowledge of PowerPoint, including ability to use PowerPoint to communicate, • analytical insights effectively to stakeholders, • Strong oral and written communication skills required., • Ability to work on multiple projects at the same time., • Experience in statistical analysis or programming are a plus, • A genuine teammate with exceptional collaboration skills, • Experience in statistical analysis or programming is preferred. Knowledge, Skills and Abilities: • Ability to multi-task and collaborate effectively with other personnel to meet deadlines., • Strong verbal and written communication, attention to detail, and organizational skills., • Ability to work within critical deadlines., • Ability to adjust to rapidly changing priorities and schedules., • Ability to provide excellent customer service. Work Authorization Applicants must be currently authorized to work in the US for any employer. Sponsorship is not available for this position. Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining the physical condition necessary for bending, stooping, sitting, walking, or standing for prolonged periods of time; most of the time is spent sitting in a comfortable position with frequent opportunity to move about. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Work Environment Work is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work is primarily a modern office setting. At all times, Ziply Fiber must be your primary employer. Unless otherwise prohibited by law, employees may not hold outside employment nor be self-employed without obtaining approval in writing from Ziply Fiber. In holding outside employment or self-employment, employees should ensure that participation does not conflict with responsibilities to Ziply Fiber or its business interests. Diverse Workforce / EEO: Ziply Fiber is an equal opportunity employer. Ziply Fiber will consider all qualified candidates regardless of race, color, religion, national origin, gender, age, marital status, sexual orientation, veteran status, and the presence of a non-job-related handicap or disability or any other legally protected status. Ziply Fiber requires a pre-employment background check as conditions of employment. Ziply Fiber may require a pre-employment drug screening. Ziply Fiber is a drug free workplace.

Job DescriptionWHO WE ARELindblad Expeditions is a true pioneer in Expedition Travel. From taking the first citizen explorers to Antarctica in 1966, opening the Galapagos and Easter Island to tourism in 1967, leading the first tourist expedition through the Northwest Passage in 1984, and launching our innovative partnership with National Geographic in 2004, we're now taking almost 30,000 guests a year to some of the world’s most remote and pristine locations on our fleet of 23 ships, and are committed to ensuring our guests experience the “Exhilaration of Discovery”. Position SummaryThe Revenue & Inventory Analyst is responsible for maximizing revenue performance and occupancy across Lindblad Expeditions’ fleet. This role evaluates sailing performance, demand forecasts, and competitor activity to develop and implement pricing and inventory strategies that drive net ticket revenue and yield. The analyst collaborates cross-functionally to ensure revenue decisions are aligned with Lindblad’s premium expedition brand and guest experience promise.RESPONSIBILITIES • Develop and implement pricing and inventory strategies for assigned products to maximize net ticket revenue and paid occupancy., • Track booking trends and performance metrics. Analyze competitor pricing, market demand, deployment, and promotional strategies to inform strategic decisions., • Conduct in-depth revenue and pricing analysis across global regions (Antarctica, Galápagos, Alaska, Europe, Egypt, etc.)., • Develop and maintain forecasts for demand, revenue, and occupancy across multiple horizons., • Deliver reporting and insights to leadership on revenue performance, risks, and opportunities., • Collaborate with Sales, Marketing, Operations, and Reservations to align on promotions, deployment strategies, and inventory controls., • Support the development of promotional calendars and dynamic pricing initiatives., • Apply tactical methodologies to optimize performance across booking channels (direct, agencies, groups, and distribution partners)., • Ensure revenue and inventory decisions support Lindblad’s mission and guest experience standards.QUALIFICATIONS, • Bachelor’s Degree in Finance, Economics, Statistics, Business, Marketing, or related field preferred., • Minimum 3 years of relevant work experience in Revenue Management, Pricing, Inventory Optimization, or a similar analytical role (hospitality, cruise, or travel industry experience preferred)., • Strong knowledge of revenue management principles, demand forecasting, and statistical modeling., • Proficiency in Excel, Power BI, or other data visualization/analytical tools., • Familiarity with inventory management systems, pricing platforms, and booking channels., • Ability to analyze large data sets and translate insights into actionable recommendations., • Excellent written and verbal communication skills, including the ability to present findings to leadership., • Strong organizational, prioritization, and project management skills., • Sound decision-making, problem-solving, and critical thinking skills., • Collaborative mindset with the ability to influence cross-functional partners., • Self-starter who thrives in a dynamic, fast-paced environment., • Must work three days a week in Seattle office., • Minimal travel is required.5% annual bonus eligibility DISCLAIMER STATEMENT: This job description is intended only to describe the general nature and level of work being performed by an employee in this position. It is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills or abilities required or persons so classified or assigned.

Job Description Impinj is a leading RAIN RFID provider and Internet of Things pioneer. We're inventing ways to connect every thing to the Internet — including retail apparel, retail general merchandise, healthcare items, automobile parts, airline baggage, food and much more. With more than 100 billion items connected to date, and multiple Fortune 500 enterprises around the world using our platform, we solve for a better understanding of our world. If it's a thing, we're working to connect it. Join Impinj and help us realize our vision of a boundless IoT— connecting trillions of everyday items to the Internet. Team Overview: Impinj is seeking a Staff Platform Systems Engineer to join our Platform Engineering team. In this role, you will work closely with an internal interdisciplinary team to research, develop and test innovative RFID readers and use case algorithms that form the building blocks of Impinj's RFID Solutions. Working side-by-side with Platform Firmware, Software, Hardware and Test teams, you will design, develop and test the computation layers and algorithms that are the foundation of the integrated platform that drive all our RFID Solutions. Our platform of tags, readers, on-reader software and cloud software is what allows us to give a digital identity and complete traceability to billions of everyday items. If you have a passion for using technology to dramatically change the way companies manage and operate their business, this is the role for you. What you will do: • Leverage your communication systems and signal and data processing experience to research and develop RFID solution systems and algorithms to address the most challenging RFID use cases, • Pioneer new RFID applications leveraging such algorithms to help customers solve real world problems across different use cases and industries, • Partner with members of our platform system, software, and hardware teams to design and test innovative new RFID reader and gateway solutions, • Collaborate with enterprise customers and outside partners to develop and deploy novel RFID solutions based on the Impinj platform, • Create proof of concept demonstrations for customers to show potential uses of our RFID platform, • Help pioneer RFID uses and applications of our platform in ways which have yet to be imagined, • Dive deep into large-scale data to assess performance, building models of system behaviors, scaling into algorithmic and machine learning applications, • Leverage the insights derived from data coming from enterprise customer deployments to assess and improve system performance and build system behavior modelsWhat you will bring:, • Bachelor's degree in electrical engineering, computer science or equivalent, • 8+ years of experience working in related fields, • Strong understanding of communication systems, basic algorithms, and signal processing, both in theory and in practical applications, • Proficient in programming using Matlab, Python, or C/C++, • Proficient using standard test and measurement equipment including spectrum analyzers, power meters, logic analyzers, and oscilloscopes, • Experience in at least one object-oriented programming language such as C, C++, or Java, • Comfortable working in an Agile development process, • Ability to communicate both verbally and in writing to technical and non-technical audiences and be able to adjust your communication style accordingly The typical base pay range for this role across the US is $129,000 - $200,000. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time. At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others. For a more comprehensive list of US employment benefits, click here. US Export Controls: This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here. Why work at Impinj: Know you're making a difference. Competitive benefits. Support for remote work or a desk with a view. Weekly Q&A sessions with our executive team. Impinj provides an environment that fosters openness and innovation and is developing technology that delivers a positive impact on the world. Collaboration and teamwork are highly valued, and accomplishments are duly celebrated. We have an open paid time-off policy paired with a respect for work/life balance. Our headquarters is located in Seattle with spectacular views of the Olympics, Lake Union, and Mt Baker, which can be enjoyed from our rooftop deck. Our Brazilian site is in Porto Alegre, Rio Grande do Sul state, at "Tecnopuc," a technology park that offers a very nice workplace for the development of groundbreaking technologies. Impinj is committed to creating a diverse and inclusive work environment and welcomes applicants from all backgrounds. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud & Risk team plays a pivotal role in safeguarding the company’s finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security—we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia’s sustained revenue growth possible. In this role, you will: • Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals., • Drive End-to-End ML Projects: Manage the full ML lifecycle—from data exploration and feature engineering to model evaluation, productionization, and monitoring., • Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant., • Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence., • Advance ML Capabilities: Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness., • Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows., • Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies., • Communicate with Impact: Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences., • Manage Stakeholders and Projects: Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions., • Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high-leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications • Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience, • 5+ years of experience building and deploying machine learning models in production environments., • Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations., • ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others., • Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code., • Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning., • Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations., • Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions., • Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions., • Visualization and Front-End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications: • Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies., • Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content., • Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives.

Pay rate range - $55/hr. to $60/hr. on W2 Onsite role Must Have - Expert Python and SQL Visualization and development Required Skills • 5-7 years of experience working with large-scale complex datasets, • Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions, • Strong working knowledge of SQL, • Background (academic or professional) in statistics, programming, and marketing, • SAS experience a plus, • Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable., • Excellent communication skills, equally adept at working with engineers as well as business leaders Daily Schedule • Evaluation of the performance of program features and marketing content along measures of customer response, use, conversion, and retention, • Statistical testing of A/B and multivariate experiments, • Design, build and maintain metrics and reports on program health, • Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, e.g. how many customers use a given feature or fit a given profile, deep dive into unusual patterns, and exploratory data analysis, • Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base, • Participate in strategic and tactical planning discussions About the role understanding customer behavior is paramount to our success in providing customers with convenient, fast free shipping in the US and international markets. As a Senior Business Intelligence Engineer, you will work with our world-class marketing and technology teams to ensure that we continue to delight our customers. You will meet with business owners to formulate key questions, leverage client's vast Data Warehouse to extract and analyze relevant data, and present your findings and recommendations to management in a way that is actionable

Geospatial / Geographic Data Scientist: No of Years of Experience: 10+ Yrs Experience Band: Level 3 Role type: WFO, Location-Bothell, Seattle Number of Positions: 1 FTE ONLY GREEN CARD HOLDERS AND US CITIZENS PREFERRED Preferred Qualifications: · Master's degree or further education in Computer Science, Data Science, Statistics, or a related field. · Experience with data visualization tools. (Preferably Looker) · Knowledge of statistical methods. · Experience in a role requiring rigorous data quality analysis and improvement. · Familiarity with evaluation frameworks and A/B testing-Mandatory · Experience with Google's development tools and infrastructure (e.g., Google3, Blaze, FlumeJava, Borg). · Familiarity with geospatial data and concepts (e.g., Map Facts, Feature Protos). Core Roles & Responsibilities: · Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. · Analyze large amounts of complex data to extract insights and drive decision-making. · Design experiments to test hypotheses and measure the effectiveness of solutions. • Mapping & Visualization-Creating informative digital maps, dashboards, and reports to communicate complex geographic information., • Research & Development-Staying updated on new geospatial tech, improving analysis methods, and potentially developing AI assistants for GIS tasks., • Collaboration & Communication-Working with teams, understanding client needs, and presenting findings to support strategic decisions.

Our Opportunity: At Chewy, we’re on a mission to become the most trusted and convenient destination for pet parents everywhere. The Data Platform team in the Marketing Sciences Organization sits at the intersection of data, marketing, and innovation — helping us understand our customers, personalize their experiences, and measure the impact of every interaction. We’re looking for a Data Engineer II who is passionate about building data ecosystems that unlock insights and fuel smarter decisions. This is more than a data engineer role — it’s an opportunity to shape how Chewy thinks about marketing data at scale and to help drive the future of customer engagement. Key Responsibilities • Design, implement, and improve the analytics platform, • Implement and simplify self-service data query and analysis capabilities of the BI platform, • Develop and improve the current BI architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility, • Deploy and use various big data technologies and run pilots to design low latency data architectures at scale, • Collaborate with business analysts, data scientists, product managers, software development engineers, and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms, • Partner with other BI and analytics teams to build and verify hypotheses to improve the discovery experience Basic Qualifications • Bachelor’s degree in Computer Science or related field or 3+ years relevant experience, • Current permanent U.S. work authorization is required, • Expert level skills writing and optimizing complex SQL, • Knowledge of data warehousing concepts., • Experience in data mining, profiling, and analysis, • Experience with complex data modelling, ETL design, and using large databases in a business environment, • Proficiency with Linux command line and systems administration, • Experience with languages like Python, Ruby, Java, or similar language, • Experience with Big Data technologies such as Hive/Spark., • Proven ability to develop unconventional solutions; Sees opportunities to innovate and leads the way, • Excellent verbal and written communication; Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms; Ability to effectively communicate with technical teams, • Ability to work with shifting deadlines in a fast-paced environment Preferred Qualifications • Authoritative in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies, • Experience with building data pipelines and applications to stream and process datasets at low latencies., • Demonstrate efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data., • Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures., • Knowledge of Engineering and Operational Excellence using standard methodologies.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Role Overview We’re looking for Basketball experts — avid fans, sports journalists, commentators, and former or semi-professional players — to evaluate basketball games. You’ll watch basketball games and answer questions in real time assessing the quality, depth, and accuracy of AI insights, helping us refine our AI’s basketball reasoning, storytelling, and strategic understanding. NOTE: You need to be available to join the call today from 5 pm PT - 8 pm PT. ### Key Responsibilities - Game Evaluation: Watch basketball games and review AI-generated play-by-play commentary and post-game analysis. - Performance Scoring: Rate the accuracy, insight, and entertainment value of AI sports coverage. - Context & Understanding: Assess the AI’s grasp of player performance, game flow, and strategic decisions. - Error Detection: Identify factual mistakes, poor interpretations, or stylistic inconsistencies. - Feedback Reporting: Provide clear written feedback highlighting strengths, weaknesses, and improvement opportunities. - Collaboration: Work with analysts and developers to enhance the AI’s basketball-specific reasoning and realism. ### Required Qualifications - Basketball Expertise: Deep understanding of the game — whether through playing, coaching, commentating, or passionate fandom. - Analytical Thinking: Ability to evaluate basketball strategies, narratives, and statistical insights. - Communication Skills: Strong written English and ability to clearly articulate nuanced basketball insights. - Tech Readiness: Comfortable using online evaluation tools and dashboards. ### About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects.

Role Overview We’re looking for Cricket experts — avid fans, sports journalists, commentators, and former or semi-professional players — to evaluate cricket games. You’ll watch cricket games and answer questions in real time assessing the quality, depth, and accuracy of AI insights, helping us refine our AI’s cricket reasoning, storytelling, and strategic understanding. ### Key Responsibilities - Game Evaluation: Watch cricket games and review AI-generated play-by-play commentary and post-game analysis. - Performance Scoring: Rate the accuracy, insight, and entertainment value of AI sports coverage. - Context & Understanding: Assess the AI’s grasp of player performance, game flow, and strategic decisions. - Error Detection: Identify factual mistakes, poor interpretations, or stylistic inconsistencies. - Feedback Reporting: Provide clear written feedback highlighting strengths, weaknesses, and improvement opportunities. - Collaboration: Work with analysts and developers to enhance the AI’s cricket-specific reasoning and realism. ### Required Qualifications - Cricket Expertise: Deep understanding of the game — whether through playing, coaching, commentating, or passionate fandom. - Analytical Thinking: Ability to evaluate cricket strategies, narratives, and statistical insights. - Communication Skills: Strong written English and ability to clearly articulate nuanced cricket insights. - Tech Readiness: Comfortable using online evaluation tools and dashboards. ### Compensation & Contract Terms - $57–66/hour for applicants based in the US or South Africa - $19–22/hour for applicants based in India - You’ll be classified as an independent contractor ### About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across domains like engineering, research, law, and creative services have partnered with Mercor on frontier AI projects.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job DescriptionAbout usToday’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The roleWe’re adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The teamWe're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stackOur backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do • Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources, • Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc., • Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance, • Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products, • Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth, • Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at GridWhat we're looking for:, • Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science., • Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models., • Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields., • Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential., • Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products., • Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it., • Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest)., • Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence.

As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. Gusto is looking for highly skilled, motivated Data Scientists with ex

AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities AWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a cloud server performance engineer, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that meet or exceed the high performance bar, with focus on high speed interconnects, including PCIe. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot high throughput interfaces at scale. You will be on the team that is responsible for PCIe topology for the EC2 servers, including retimer and switch firmware and telemetry. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today. About the team " Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.“ BASIC QUALIFICATIONS- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience • 5+ years of non-internship professional software development experience, • 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • 5+ years of systems design, software development, operations, automation, and process improvement experience, • 5+ years of experience identifying & root-causing hardware/software system issues in large scale systems, • 5+ years of experience writing and implementing functional and performance tests for manufacturing and in field coverage, including telemetry, • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers, • Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy, • Experience communicating to senior management and customers verbally and in writing, • 5+ years of experience with high speed interconnect, including PCIe, • 5+ years of experience with CPU and memory architectures, system performance, security and troubleshooting, • 5+ years experience with statistical analysis using large scale data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Handle buyer email responses, accurately address customer inquiries and complaints, and assist Technical Support Engineers in resolving post-sales product issues. Timely feedback on customer queries, conduct statistical analysis, and collaborate with relevant departments to drive product optimizatio