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Job Description Data Scientist-Build Analytics About Forged Fiber At Forged Fiber, our mission is bold but simple: deliver fast, reliable, future-proof connectivity that builds the foundation for everything online. As we execute, we believe the right way to do something is the only way. This foundation guides how the company builds, operates, and maintains a state-of-the-art open-access fiber network platform that empowers millions. Forged Fiber is about more than building a network. It is about people. Every role matters. Every contribution counts. Together, employees create impact through teamwork, trust, and a shared commitment to excellence. The Role The Data Scientist – Build Analytics will support the end-to-end fiber network deployment lifecycle by leveraging data and analytics to improve build execution, forecasting, cost efficiency, and operational readiness. This role partners across Engineering, Construction, Field Operations, Supply Chain, and IT to deliver actionable insights that drive decision-making, reduce risk, and accelerate market readiness. The Main Responsibilities Build Data Strategy & Analytics · Develop and maintain data models to track fiber build progress, productivity, and performance · Using statistical methods to analyze build lifecycle data (planning, permitting, construction, testing, readiness) to identify trends, patterns, risks and opportunities. · Establish KPIs and metrics aligned to build execution and market launch success Forecasting & Predictive Modeling · Build predictive models to forecast: o Build timelines and completion rates o Resource needs (labor, materials, contractors) o Risk areas (permitting delays, vendor performance, supply constraints) · Support scenario modeling for market launches and expansion planning Operational Performance & Optimization · Identify inefficiencies across construction, permitting, and deployment workflows · Provide data-driven recommendations to improve: o Cycle times o Cost per passing / cost per market o Resource utilization · Partner with build leadership to drive continuous improvement initiatives Executive Reporting & Insights · Translate complex data into clear, actionable insights for leadership · Develop dashboards and visualizations showing: o Build progress vs. plan o Risk areas and mitigation tracking o Market readiness indicators · Support creation of executive-level summaries and ELT reporting Cross-Functional Data Integration · Integrate data across systems and domains: o Construction & vendor systems o Supply chain / materials tracking o Field operations & dispatch o OSS/BSS and network readiness · Ensure data consistency, quality, and accessibility across teams Automation & Data Products · Design and implement automated data pipelines and reporting solutions · Enable self-service analytics for build and operations teams · Partner with IT/Data Engineering to scale data infrastructure What We Look For in a Candidate in a Candidate Required Skills • Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field, • 3–7+ years of experience in data science, analytics, or related roles, • Strong experience with:, • Python (pandas, scikit-learn, etc.), • SQL and large dataset analysis, • Data visualization tools (Power BI, Tableau, etc.) · Skill Set to include (one or multiple) o Looker BI reporting o LLM training o AI/ML experience o Agentic AI development • Experience building predictive models and translating data into business insights, • Strong problem-solving and analytical thinking skills, • Ability to communicate complex findings to technical and non-technical audiences Preferred Qualifications • Experience in telecom, fiber deployment, construction, or infrastructure programs, • Familiarity with build lifecycle (planning → construction → readiness → launch), • Experience working with:, • Vendor performance data, • Supply chain or logistics datasets, • Geospatial (GIS) data, • Exposure to OSS/BSS systems or network deployment data Leadership Profile • Data-driven decision maker with strong business acumen, • Highly collaborative across cross-functional teams, • Comfortable working in fast-paced, scaling environments, • Strong communicator capable of influencing at all levels, • Focused on execution, accountability, and measurable outcome What We Look For in a Candidate Forged Fiber’s culture is built on honesty, respect, trust, transparency, and a growth mindset. We strive to treat people as they want to be treated, and to operate with consistency, integrity, customer obsession, and courage. We’re looking for top tier talent to join Forged Fiber that can help us bring this mindset to our everyday work and deliver meaningful results. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors. Location Based Pay Ranges: $110,000- $160,000 Forged Fiber offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. What to Expect Next Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. Forged Fiber 37 Services, LLC participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the United States. Employers can only use E‑Verify once you have accepted a job offer and completed the Form I‑9. Equal Employment Opportunities It is the policy of Forged Fiber to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, martial status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training. In addition, Forged Fiber will provide reasonable accommodations for qualified individuals with disabilities, and is a fair change employer and does not initiate a background check until after an offer is made. © 2026 Forged Fiber 37 Services, LLC

Job Description Nammo Defense Systems, Inc., a defense contractor, is the primary USA operation of the Nammo Group (Nammo AS). Nammo Defense Systems Inc. (NDS) develops, manufactures, and supports Shoulder Launched Munitions (SLMs), energetic material solutions such as aircraft emergency escape systems, actuation devices, rocket motors, warheads, and composite solutions including carbon fiber tubes and composite aerospace structures. JOB OVERVIEW: The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis. The position will report to and take direction from the Propellant, Explosives and Pyrotechnic Supervisor but will also work closely with the cross-functional program teams to support production programs. How you will be rewarded as our Scientist: • Competitive compensation, • Monday-Thursday work week working four 10-hour days (off on Fridays), • Generous paid time off and Holiday Pay, • Medical, Dental and Vision Insurance, • 401(K), employee assistance programs, health savings account KEY RESPONSIBILITIES: • Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or to make production improvements., • Develop and/or modify formulas, processes, procedures, and techniques to manufacture propellant., • Develop methods and analyzes and to create tests compositions to understand and modify chemical, physical, mechanical, ballistic, and hazard properties., • Establish optimal trade-off of propellant properties by modifying composition to achieve objectives., • Serve as a principal investigator to resolve propellant production issues., • Follow standard laboratory practices and safety procedures., • Coordinate and schedule support work for other departments., • Make oral presentations outlining/summarizing progress on selected projects and programs to both internal and external customers., • Prepare technical reports detailing work progression and results., • Provide labor, equipment, and material estimates for laboratory work required to support production projects., • Assign/delegate work to technicians and junior chemists., • Provide training to technicians to perform chemical weigh out, small scale propellant mixing, laboratory testing, mechanical property testing, and burn rate testing., • Review results of experiments and analyses performed by other scientists or technicians., • Perform Statistical Process Control charting and predictive modelling to identify propellant performance and/or property trends., • Follow standard practices and safety procedures., • Strictly adhere to all safety policies and procedures to ensure a safe working environment. LEVEL OF DECISION MAKING This position requires daily autonomous decision-making capabilities when working with both internal and external customers. SKILLS & QUALIFICATIONS: Required: • Proficient with Microsoft Office, Word, Excel, and Power Point., • Experience with various lab instruments for analysis and testing of energetic materials., • Working knowledge of energetic material regulations and safe handling/measurement., • Ability to work effectively and communicate well with the cross-functional NDS Mesa Team., • Must have a strong work ethic and be well organized to manage multiple projects simultaneously., • Must be able to wear safety equipment such as respirators or self-contained breathing apparatus., • Must be able to exert up to 50 lbs. of force in the course of normal work., • Must have the ability to obtain and maintain ATF Processor license. COMPETENCIES: • Excellent communication and collaboration skills., • Strong attention to detail, • Strong problem-solving and critical-thinking abilities., • Ability to work in fast-paced environments., • Leadership or teamwork abilities. WORKING CONDITIONS: • Full-time on-site position., • This position may require travel on an as-needed basis, • This position may require working in diverse settings and conditions. Note: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

Job DescriptionCompany Description As a leading healthcare education organization, Unitek Learning’s family of schools helps thousands of students launch and accelerate their careers every year. As a rapidly growing and highly successful company, Unitek is also a great place to pursue a rewarding and challenging career. We offer a competitive salary, generous benefits, unlimited growth potential, and a collegiate work environment. Job Description The People Data Scientist applies advanced statistical, analytical, and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling, experimentation, machine learning, and workforce analytics to identify trends, assess organizational effectiveness, and inform strategies related to talent acquisition, employee engagement, retention, performance, workforce planning, and diversity initiatives. Working collaboratively with Human Resources, Talent Acquisition, Total Rewards, Learning and Development, Finance, and business leaders, the People Data Scientist translates complex workforce data into meaningful recommendations and decision-support tools. The position develops predictive models, conducts research and experimentation, and delivers data-driven insights that improve organizational performance while ensuring ethical, responsible, and compliant use of employee data. Job Responsibilities: • Serve as a subject matter expert for HR technology, workforce data, and people analytics, supporting the optimization and effective use of HCM systems and reporting solutions., • Facilitate and support HCM system implementations, enhancements, integrations, testing, and ongoing system optimization across HR, Payroll, Benefits, Talent, and Workforce Management functions., • Partner with HR, Finance, IT, Payroll, and business leaders to gather requirements, improve processes, and implement scalable workforce technology and analytics solutions., • Configure and maintain HRIS workflows, security roles, business processes, system controls, and reporting structures to support operational efficiency and data integrity., • Manage workforce data governance activities, including data validation, audits, compliance monitoring, and the maintenance of accurate and reliable employee data across multiple systems., • Develop workforce analytics and statistical analyses to identify trends, correlations, and actionable insights related to headcount, turnover, retention, recruiting, labor costs, engagement, diversity, and workforce planning., • Apply predictive analytics, forecasting techniques, and data modeling methodologies to support strategic workforce planning and organizational decision-making., • Design, develop, and maintain dashboards, scorecards, and executive reporting solutions that provide visibility into key workforce and business metrics., • Translate complex workforce data into clear visualizations, executive presentations, and data-driven narratives that connect people’s metrics to business outcomes., • Create and maintain automated reporting processes, data integrations, and data pipeline solutions that improve efficiency, accuracy, and scalability of workforce reporting., • Partner with HR Centers of Excellence, including Talent Acquisition, Total Rewards, Learning and Development, and Employee Relations, to support analytical and reporting needs., • Identify opportunities to improve workforce processes, reporting capabilities, and HR technology solutions through data analysis, automation, and emerging technologies, including AI-enabled tools.Qualifications Education, Experience, Knowledge, Skills and Abilities: • Bachelor’s degree in data science, Statistics, Mathematics, Economics, Industrial-Organizational Psychology, Computer Science, Analytics, Business, Human Resources, or a related quantitative field required; Master's degree preferred., • Minimum of 5 years of experience in data science, people analytics, workforce analytics, applied research, or a related analytical discipline., • Strong knowledge of statistical modeling, predictive analytics, machine learning, hypothesis testing, survey methodology, and experimental design., • Proficiency in SQL and at least one analytical programming language such as Python or R., • Experience working with business intelligence and data visualization tools to develop dashboards, reports, and executive presentations., • Demonstrated ability to analyze large and complex datasets and communicate findings to diverse audiences., • Knowledge of workforce analytics, organizational research methods, employee lifecycle metrics, and talent management concepts preferred., • Strong critical thinking, problem-solving, and analytical skills with the ability to independently manage complex projects and priorities., • Understanding of data governance, data privacy, responsible AI practices, and bias mitigation principles., • Excellent communication and consulting skills with the ability to influence decisions through data-driven insights and recommendations. Additional Information We Offer: • Medical, Dental and Vision starting the 1st of the month following 30 days of employment, • 2 Weeks’ starting Vacation per year. Increasing based on years of service with company, • 10 paid Holidays and 1 Floating Holiday, • 401K with a Company Match, • Company Paid Life Insurance at 1x’s your annual salary, • Leadership development and training for career advancement, • Tuition assistance and Forgiveness for you and your family up to 100% depending on program

Job Description About Carvana... At Carvana, we're changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we're just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you'll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you're driven to grow and make an impact as part of a collaborative team, you'll fit right in. Learn more about what it's like to work here from the people that already do. Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the Role This role sits within Carvana's Credit & Risk modeling space, working on high-impact predictive models that inform risk assessment and decisioning across the business. We are looking for a senior individual contributor who will help advance the technical capabilities of our core credit and risk models by developing, validating, and productionizing new modeling techniques and data signals. Success in this role comes from steady, compounding improvement—introducing new ideas pragmatically, proving value early, and iterating toward more sophisticated approaches over time. While the work will focus on flagship credit and risk models, successful techniques and signals are expected to scale outward to other models and teams through shared workflows and modeling infrastructure. This role is well suited for someone who operates comfortably at the intersection of advanced modeling and real-world delivery to balance tradeoffs between complexity and business objectives. What You'll Be Doing • Improve core credit and risk models through a sequence of incremental advancements in accuracy, robustness, and coverage over time., • Leverage a wide range of structured and unstructured data sources across multiple modalities to drive sustained improvements in model accuracy and decision quality., • Design, train, and deploy advanced machine learning models, including (but not limited to) gradient boosting, representation learning, embeddings, and transformer-based approaches., • Use high-impact models as a testing ground for new techniques and data modalities, validating which ideas deliver measurable lift in production., • Build and apply rigorous evaluation frameworks (offline validation, backtests, simulations, online experiments) to guide iteration and decision-making., • Exercise strong judgment about model complexity and tradeoffs, balancing sophistication with reliability and maintainability., • Partner closely with data engineering and platform teams to ensure models are production-ready, scalable, monitorable, and maintainable., • Translate successful work into reusable patterns, abstractions, or signals that can be adopted across other modeling efforts., • Serve as a technical leader within the Predictive Modeling organization through design reviews, code reviews, and informal mentorship. What You Should Have • 5-8+ years of experience building and deploying predictive models in production environments., • A demonstrated track record of delivering models and improving them iteratively over time, not just developing them offline., • Strong experience with modern machine learning techniques (e.g., LightGBM/XGBoost, neural networks, representation learning)., • Excellent statistical intuition, including comfort reasoning about bias/variance tradeoffs, generalization, and experimental validity., • Fluency in Python and SQL, with production-quality coding standards., • Proven ability to take ambiguous, open-ended modeling problems from idea → experiment → production impact., • Bachelor's degree in Computer Science, Statistics, Math, Quantitative Economics, or similar field from an accredited undergraduate institution required. If would also be great if you had • Hands-on experience with embeddings, transformers, or other deep representation models in real-world systems., • Experience integrating unstructured or semi-structured data (text, images, documents, device signals) into predictive models., • Familiarity with model monitoring, drift detection, and retraining strategies for high-impact decision systems., • Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling environments. Notes on Experience • Research experience is a plus only if paired with a strong bias toward delivery and production impact. What Success Looks Like Over time, success in this role is reflected by: • Measurable improvements in the accuracy, robustness, or coverage of core credit and risk models., • New modeling techniques or data signals that transition from experimentation into sustained production use., • Clear patterns or abstractions that enable other teams to adopt and build on this work., • Strong alignment between modeling advances and real business outcomes. What we'll offer in return • Full-Time Salary Position with a competitive salary., • Medical, Dental, and Vision benefits., • 401K with company match., • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more., • A great wellness program to keep you healthy and happy both physically and mentally., • Access to opportunities to expand your skill set and share your knowledge with others across the organization., • A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development., • A seat in one of the fastest-growing companies in the country. Legal Stuff Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • Contribute to improving data science practices, tooling, and documentation Requirements: • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members, • Experience deploying or supporting models in production environments This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Savas Software/Lifekind Health is seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics (including LLM based) in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency. This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to deploy AI products. If you enjoy solving messy, high-impact healthcare problems using AI, this role is for you. This is not a remote position. You must live in the Scottsdale, AZ area and work in our office 3 days per week. Relocation assistance is not available. Visa sponsorship is not available. Our mission is to bring care that’s whole, human, and healing. Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes more than a prescription. Savas Software is a pioneering healthcare technology company dedicated to transforming clinical operations through innovative, integrated software solutions. Our mission is to empower healthcare organizations with tools that streamline workflows, enhance patient care, and ensure operational continuity. Through a unified approach to development, support, architecture, and enablement, we help clinics focus on what matters most—patient outcomes. Machine Learning & Predictive Analytics: • Develop and deploy AI/ML models that power key products such as:, • Procedure Appropriateness, • Patient no-show prediction, • Appointment optimization, • Clinical risk stratification, • Patient adherence forecasting, • Providerutilizationand throughput prediction, • Perform feature engineering using clinical, operational, and financial data, • Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning whereappropriate), • Evaluate models using rigorous statistical and ML performance metrics, • Collaborate with ML Engineering to productionize models on Azure Technical Environment (Azure AI/ML & Analytics): You’ll work within a modern AI/ML and analytics stack, including: • LLMs:Open AI, Anthropic Claude, • Core Languages:Python, SQL, • Libraries & Frameworks:Scikit-learn,XGBoost,LightGBM, Pandas, NumPy, NLP libraries, • Visualization:Power BI, Plotly, Matplotlib, Seaborn Data Analysis & Insights: • Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issues, • Translate clinical guidelines and workflows into computable, data-driven logic, • Generate actionable insights that drive clinical and operational decision-making Data & Feature Pipelines: • Transform raw healthcare data into modeling-ready datasets (structured + unstructured), • Implement data validation, quality checks, and scalable transformation logic, • Collaborate with Data Engineering to ensure high-quality, well-governed data pipelines LLMs, NLP & Unstructured Data (Nice-to-Have but Valuable): • Work with LLMs (Open AI, Anthropic Claude) to research and conceptualize recommendations, • Apply basic NLP techniques to extractsignalfrom clinical notes and operational text, • Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations & Storytelling: • Create dashboards and data visualizations using Power BI or Python to communicate insights, • Present findings and recommendations to clinicians, operations leaders, and executives What Success Looks Like: • Production-ready ML models that drive measurable improvements in clinical operations, • High-quality datasets, features, and reproducible pipelinespoweringour AI platform, • Actionable insights that influence patient outcomes and reduce operational friction, • Ability to independently drive complex data projects end-to-end with minimal supervision Our Ideal Candidate will have the following qualifications: • 2 or more years of experience in data science, machine learning, or applied analytics, • Strong Python + advanced SQL skills for data manipulation, modeling, and EDA, • Experience developing and evaluating ML models in real-world environments, • Experience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantage, • Familiarity with HIPAA, PHI handling, and healthcare data governance, • Strong understanding of feature engineering, statistical methods, and model validation, • Ability to clearly communicate technical concepts to non-technical stakeholders, • Exposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude) preferred, • Experience with Azure Data Factory, Azure Functions, Azure Open AI preferred, • Master’s degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred Generous salary and benefits package includes: • Medical, dental, and vision coverage options for you and eligible dependents, • Free basic Life/AD&D, Short-Term, and Long-Term Disability policies for those enrolled in medical, plusadditionalvoluntary coverage options, • 401(k) Retirement plan, • Medical and Dependent Care Flexible Spending Accounts, • Generous vacation, sick, and holiday benefits Lifekind Health and Savas Software are an Equal Opportunity Employer. We value a diverse workforce and inclusive workplace. People of color, people with disabilities, and lesbian, gay, bisexual, and transgender people are encouraged to apply. We consider all applicants without regard to race, color, ancestry, religion, gender, gender identity, gender expression, national origin, age, disability, socio-economic status, marital or veteran status, pregnancy status or sexual orientation.

Job DescriptionCompany Description Achieve is a leading digital personal finance company. We help everyday people move from struggling to thriving by providing innovative, personalized financial solutions. By leveraging proprietary data and analytics, our solutions are tailored for each step of our member's financial journey to include personal loans, home equity loans, debt consolidation, financial tools and education. Every day, we get to help our members move their finances forward with care, compassion, and empathetic touch. We put people first and treat them like humans, not account numbers. Since 2002, Achieve has grown into one of the largest private consumer fintech unicorns in the U.S., with over $40B in enrollments for our industry-leading, tech-enabled debt resolution services business, and over $11Bn in personal and home loans originations via our banking-as-a-service partner. Job Description As a Data Scientist (potential uplevel to Sr. Data Scientist for the right experience), you’ll impact the lives of everyday people and help them go from surviving to thriving with innovative digital personal finance solutions. You will focus on developing and deploying predictive and descriptive models throughout the customer lifecycle, including machine learning models. Additionally, you will conduct strategic analytics and develop BI to monitor program results. You will serve as a strategic thought partner for leaders throughout the company, helping them in identifying and exploiting opportunities where modeling and analytics can add value. What you’ll do: • Conduct deep-dive analytics on strategic initiatives, • Access data, run analytics models, solve business problems., • Understand an influence the pillars of conceptual risk modeling, • Establish and maintain relationships with internal stakeholders., • Serve as a strategic thought partner for other members of the Data Science teamQualifications What you’ll bring: • 1-2+ years of experience as a professional data scientist. This is a must. (Experience in a regulated industry like banking with hands-on compliance work is a plus)., • Excellent risk modeling and analytic skills., • Proficient coding skills in SQL and Python/R., • Experience developing BI dashboards using Tableau is a plus, • Keen eye for opportunities to get value from data., • Ambitious, resourceful, and possessed of excellent judgment as evidenced by steadily growing professional responsibility., • Strong organizational skills with an ability to manage multiple projects at any given time., • Strong verbal and written communication skills. In particular, be able to convert highly technical concepts and results into easily understood business value proposition., • Demonstrated ability to work independently as a self-starter., • Education in a "hard" quantitative field (e.g. Math, Stats, Economics, Operations Research, etc.), with evidence of outstanding academic achievement. This is a must., • Ideal candidates will have an advanced degree (>= MS), although professional experience and achievement are more important. Preferred: • Experience in consumer lending domain (secured/unsecured loans, credit cards, etc.) or fintech lending environment., • Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting., • Experience working with credit decisioning engines such as Oscilar, TakTile etc. will be a plus., • Experience working with capital markets and servicing businesses., • Knowledge or working experience in loan-level economics, yield curves, margins/profitability, etc., • Experience working in the GCP environment., • A Passion for fintech, agile environment, ability to work both independently and in a collaborative, fast-paced team. Additional Information All your information will be kept confidential according to EEO guidelines. Achieve well-being with: • 401 (k) with employer match, • Medical, dental, and vision with HSA and FSA options, • Competitive vacation and sick time off, as well as dedicated volunteer days, • Access to wellness support through Employee Assistance Program, physical and mental health wellness programs, • Pet care discounts for your furry family members, • Financial support in times of hardship with our Achieve Care Fund, • A safe place to connect and a commitment to diversity and inclusion through our six employee resource groups We are proudly offering hybrid options in the San Mateo, CA and Phoenix, AZ metro market. In other locations throughout the country, we offer work from home. Salary Range: $140,000 - $160,000 + bonus + benefits. This information represents the expected salary range for this role. Should we decide to make an offer for employment, we'll consider your location, experience, and other job-related factors. Join Achieve, change the future. At Achieve, we’re changing millions of lives. From the single parent trying to catch up on bills to the entrepreneur needing a loan for the next phase of growth, you’ll get to be a part of their journey to a better financial future. We’re proud to have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas. We are strategically growing our teams with more remote, work-from-home opportunities every day to better serve our members. A career at Achieve is more than a job—it’s a place where you can make a true impact, have a sense of belonging, establish a fulfilling career, and put your well-being first. Attention Agencies & Search Firms: We do not accept unsolicited candidate resumes or profiles. Please do not reach out to anyone within Achieve to market your services or candidates. All inquiries should be directed to Talent Acquisition only. We reserve the right to hire any candidates sent unsolicited and will not pay any fees without a contract signed by Achieve’s Talent Acquisition leader. #LI-KV1

Job Description COMPANY OVERVIEW: Certerra Southwest, a leading engineering consulting firm in the western United States, has an excellent opportunity for an Entry Level Environmental Scientist in our Phoenix/Tempe, AZ office. The successful candidate will conduct a variety of field and office duties to support senior team leaders. Project assignments will take you to locations throughout the southwestern United States, but primarily in Arizona, New Mexico, Utah, and Nevada. A willingness and ability to learn new skills in challenging fields and office assignments in a collaborative setting wins the day! This position requires a hard-working, safe, efficient and dedicated employee that is excited to receive training on the job and expand their current skill set. Candidates must be able to travel, and work nights, weekends, and extended hours, depending on the project requirements. Potential responsibilities Support field projects including groundwater monitoring, soil sampling, vapor sampling, and operations/maintenance of remediation systems. Support planning and design of environmental systems and processes to mitigate/control the discharge of pollutants. Monitor, record, and report environmental field measurements. Conduct field investigations and inspections to review and evaluate compliance with regulatory requirements, permits, and specifications involving water, wastewater, air emissions, hazardous waste, and petroleum storage tank systems. Collect soil samples from borings using a variety of drilling rigs for environmental and geotechnical testing, prepare lithologic, and perform field screening for environmental contaminants. Install groundwater monitoring wells, vadose zone wells, and vapor sampling ports per project specifications. Log and track data, prepare spreadsheets, prepare calculations for use in exposure assessments and fate and transport modelling. Conduct literature research for use in interpreting areas of waste management, disposal, and releases to the environment. Read, review, interpret, and analyze existing and historical data about past investigative activities to develop conceptual site models. Prepare detailed report narratives and supporting documentation describing and summarizing research, field activities, and analytical results. Physical Requirements • Work outside in extreme weather conditions (heat and cold), • Ability to lift/carry 50 pounds, • Ability to carry and climb ladders, • Use and control handheld power tools, • Be able to wear a respirator, safety harness and other safety equipment, as needed, • Stand for extended periods of time. Key Credentials OSHA 40-Hour HAZWOPPER Training. Experience with MS Office, CADD, Salesforce, and or Deltek Advantage State or Federal level certifications for asbestos, lead, indoor air quality, industrial hygiene, or environmental management Clean driving record BS in Engineering or Physical Science WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee occasionally works near moving mechanical parts in outside weather conditions and is occasionally exposed to wet and/or humid conditions, and fumes or airborne particles. The noise level in the work environment is usually moderate. We are an Equal Opportunity Employer. This Company is dedicated to both the letter and the spirit of the equal opportunity employment laws. All applicants and all employees will be evaluated based on their ability, competence, and performance of the essential functions of their positions. There will be no discrimination based on race, sex, national origin, religion, age 40 and over, disability, sexual orientation, marital status, or any other classification which may be protected by federal, state, or local laws. In compliance with the Americans with Disabilities Act, we specifically offer equal opportunity for all employees or job applicants who may have a physical or mental disability. Such people will be hired based on their ability to perform the essential functions of the job in question. Likewise, their work will be evaluated on their performance of these essential functions. We will offer reasonable accommodation to individuals with disabilities, to the extent that Company resources allow without undue hardship. As part of our equal employment policy, there will be no wage differentials based on gender, between men and women employed in the same establishment, on jobs that require equal skill, effort, and responsibility, and which are performed under similar working conditions.

Job DescriptionDescription: • Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments., • Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights., • Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value., • Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements., • Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments., • Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models., • Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders., • Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement., • Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation., • Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization., • Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance., • Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency. Requirements: • Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred., • Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL., • Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks., • Experience developing, deploying, and maintaining machine learning models in production environments., • Strong understanding of cloud computing platforms and modern data science tools and technologies., • Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations., • Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams., • Experience within financial services, mortgage lending, or other highly regulated industries preferred., • Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.

Job Description COMPANY OVERVIEW: Certerra is a growing national provider of testing, inspection, and certification services that support innovation in new product development, quality assurance, for project delivery, and engineered solutions for asset management. We are passionate about contributing to the sustainable development of the communities we serve. We are a national firm with a global reach serving national and international clients from 30+ offices located in 10 states and are ranked on ENR’s Top 500 list alongside the nation’s top firms. With a 60-year history, Certerra has a passion for high-end services, constant innovation, and investment in the development of world-class laboratory facilities, and interactive management technologies. Each member of our staff is committed to service, innovation, and the success of our clients. Certerra is a consulting firm with over 65 years of quality service that offers professional services in the southwestern United States in the fields of geotechnical engineering, environmental engineering, construction materials engineering and testing, nondestructive testing, and welding inspection. Job Description: Certerra Southwest, a leading engineering consulting firm, has an excellent opportunity for an Environmental Scientist working into Project Management in our Phoenix, AZ office. The successful candidate will conduct a variety of field and office duties to support senior team leaders. Project assignments will take you to locations throughout the southwestern United States, but primarily in Arizona. This position requires a hard-working, safe, efficient and dedicated employee that is excited to receive training on the job and expand their current skill set. General responsibilities: (Include but are not limited to:) • Conduct field sampling and inspections for soil, groundwater, air, and building materials. • Conduct Phase I Environmental Site Assessments (ASTM E1527-21) including historical records review, site reconnaissance, and preparation of technical reports., • Perform Phase II environmental investigations including soil, groundwater, and soil vapor sampling under the direction of project managers., • Perform asbestos building inspections and bulk sampling in accordance with AHERA and state regulatory requirements., • Conduct lead-based paint inspections and risk assessments using XRF analyzers and paint chip sampling techniques., • Perform indoor air quality (IAQ) monitoring including collection of samples for VOCs, mold spores, particulate matter, and other indoor contaminants., • Document field activities through field notes, photographs, and site sketches., • Communicate with clients and contractors during field activities. Required Job Qualifications: • Environmental science, biology, chemistry, industrial hygiene or similar background., • 1-3 years of experience in environmental or industrial hygiene consulting., • Experience with environmental sampling techniques including soil, groundwater, air, and building materials., • Knowledge of federal and state environmental regulations (EPA, OSHA, ADEQ, etc.)., • Strong technical writing and data organization skills., • Certifications such as AHERA Building Inspector, AHERA Contractor/Supervisor, Lead Inspector/Risk Assessor, or 40-hour HAZWOPER are preferred., • A valid driver’s license with a clean driving record • Pass a pre-employment drug screen Physical Demands: • Physical examination required to obtain medical clearance to work, • Ability to stoop, kneel and to routinely lift and carry 50 pounds, • Ability to travel for field work and some overnight stays, • Able to work in variable outside conditions, including extreme heat or cold EOC Statement: We are an Equal Opportunity Employer. This Company is dedicated to both the letter and the spirit of the equal opportunity employment laws. All applicants and all employees will be evaluated on the basis of their ability, competence, and performance of the essential functions of their positions. There will be no discrimination on the basis of race, sex, national origin, religion, age 40 and over, disability, sexual orientation, marital status, or any other classification which may be protected by federal, state, or local laws. In compliance with the Americans with Disabilities Act, we specifically offer equal opportunity for all employees or job applicants who may have a physical or mental disability. Such persons will be hired on the basis of their ability to perform the essential functions of the job in question. Likewise, their work will be evaluated on their performance of these essential functions. We will offer reasonable accommodation to individuals with disabilities, to the extent that Company resources allow without undue hardship. As part of our equal employment policy, there will be no wage differentials based on gender, between men and women employed in the same establishment, on jobs that require equal skill, effort, and responsibility, and which are performed under similar working conditions

Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. AI data lab for training frontier models and evaluating AI agents. Develop, validate, and implement statistical models to extract actionable insights from c

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

$80 - $130/hourpaymaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Materials Scientist / Engineer Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering., • Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields., • Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training., • Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors., • Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning., • Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones., • Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices. Preferred Qualifications • MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization., • Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing)., • Strong analytical skills and experience interpreting complex scientific data., • Substantial experience conducting technical literature reviews and summarizing key findings., • Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences., • Experience with quality assurance and review of scientific documents or datasets., • Familiarity with remote collaboration tools and digital knowledge-sharing environments. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

Provide technical solution design and act as a technical lead or mentor for data science and analytics personnel. Collaborate closely with SOC analysts, threat hunters, and engineers to operationalize insights. The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, develop

Potential Responsibilities Future projects may involve: - Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and tech

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Senior Consultant in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week 3+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration Limited immigration sponsorship may be available Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve One of the following active accreditations obtained, in process, or willing and able to obtain: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,350 to $205,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 352993 Job ID 352993

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Manager in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week Limited immigration sponsorship may be available 5+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,475 to $274,750. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353345 Job ID 353345

Working knowledge of a variety of healthcare data management processes and techniques, including data standards, interoperability, and proper data privacy. Experience with SQL, Tableau and/or other data and data visualization tools. Experience working with data scientist / BI engineers.

Responsibilities- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights- Overseeing the implementation of data infrastructure and integration to support scalable AI systems- Driving business growth by identifying market opportunities a

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows. Experience applying data science, statistics, or computer vision to experimental data. Improve throughput, re

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows. Experience applying data science, statistics, or computer vision to experimental data. Build tools for data p

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows. Experience applying data science, statistics, or computer vision to experimental data. Apply computer vision,

Research Scientist in RWE Tobacco Harm Reduction, you will:. Actual Use, PMSS, TPPI) including writing research proposals, collaborating on protocol and statistical analysis plan (SAP) development, overseeing data analysis, providing analytical interpretation, writing reports, abstracts, posters, an

The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows. Experience applying data science, statistics, or computer vision to experimental data. Apply computer vision,

Product Testers are wanted to work from home nationwide in the US to fulfill upcoming contracts with national and international companies.We guarantee 15-25 hours per week with an hourly pay of between $25/hr.There is no payment required in order to apply or to work as an In-Home Usage Tester.You do

This position is for a full-time traveling assignment supporting large-scale construction projects such as: Heavy Commercial/Commercial Industrial, Advanced Technology, Data Center, Pharmaceutical, Industrial/manufacturing, Renewables, and Infrastructure projects. The first project will be on a Data

Construction Hospitality Project Manager.The PENTA Building Group is searching for construction Hospitality Project Managers with prior hospitality construction project experience to join our team in Phoenix, AZ! The Hospitality Project Manager is accountable for the successful completion of the hos

Our client is looking for a Municipal Project Manager.Please read below for additional information.Phoenix or Mesa, Arizona (Onsite).BS Civil Engineering, Arizona PE license Minimum 8 years of civil engineering experience Civil3D, HEC-HMS, HEC-RAS, WaterCAD, SewerCAD proficiency.Supply Chain and Log

National, Fully Integrated GC With Growing Portfolio In Phoenix.Develop a strong understanding of the entire scope of work, including plans, specifications, logistics, materials, equipment and other requirements.Coordinate subcontractors and manage on-site production.Prepare and maintain a 3 week lo

Bachelors degree in Construction Management, Electrical Engineering, or other related discipline 5+ year's experience in High Tech or Mission Critical Data Center construction.

Belong and Attend professional organizations such as AFCOM, ASHRAE, 7x24 exchange, PTC, DatacenterDynamics / DCD, Uptime, iMasons, Bisnow etc. Data Center Construction Project Manager - Owner's Rep - Phoenix, AZ. This opportunity is with a leading provider of mission-critical data center solutions a

Turner & Townsend is looking for an Assistant Project Manager to join our team to support project management services for a data center client. Ensure that key information and data are effectively shared and appropriately retained. Liaise with the client's finance team and others to obtain informati

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth throughout the designated areas of coverage. Industrial Services experience with Data Centers and Indu

W3Global is seeking a Project Manager / BIM Manager in Phoenix, AZ for a lead role combining architectural project management with BIM governance.The position requires overseeing BIM standards, coordinating consultants, and delivering presentation and construction documents for commercial projects.T

Project Manager - Water/Wastewater.Location: Phoenix, AZ, US, 85283.A Project Manager position is available at Garney.To be considered for this position you must have previous project management experience in the water and waste-water construction industry.Managing cost and "Work In Progress" projec

Allied Universal Janitorial Services is uniquely capable and personally committed to delivering exceptional janitorial services.All full-time positions offer medical, dental and vision coverage, life insurance, 401K, employee assistance programs, company discounts, perks and more! We pride ourselves

The PENTA Building Group is searching for construction Healthcare Project Managers with prior healthcare construction project experience to join our team in Phoenix, AZ! The Healthcare Project Manager is accountable for the successful completion of the healthcare projects they are assigned to, worki

ENR Top 400 Top Data Center Contractor (Top 3).

We partner with national and international prime contractors to provide them with qualified talent they can trust.We accomplish this by sourcing and vetting high level career seeking candidates in the industry and match them with our partners current open roles.Our objective is to help our general c