• Define the end-to-end methodology every team follows - hypothesis → metrics → design → power → readout → decision - and make it the default • Own the statistical approach (significance, multiple comparisons, sequential testing, variance reduction like CUPED) for small-sample, fast-paced contexts where classic A/B power is hard to reach • Build the methods toolkit for our clustered, hierarchical data (user → sub-account/location → agency), where randomization and analysis units differ • Apply rigorous causal inference (matching, diff-in-diff, instrumental variables, synthetic control, etc) when clean experiments aren't feasible - churn, onboarding, GTM - separating real signal from selection bias, seasonality, and mix effects • Own the design discipline for running many experiments at once - layering, orthogonal experiments, holdouts, and guardrails that keep concurrent tests from contaminating each other • Partner with AI/ML teams to design and evaluate experiments for AI features, including measurement for non-deterministic, fast-iterating systems • Run the experiment review forum and hold the line on what counts as a real result • Build the Experimentation curriculum and templates that level up PMs and analysts so good design scales beyond you • Partner with Analytics Engineering on governed, experiment-ready data and consistent metric definitions • Influence leadership and cross-functional partners on where to invest, translating statistical nuance into clear, decision-grade guidance

• Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling and multichannel attribution and testing • Design experiments and interpret the results to draw detailed and actionable conclusions • Work in cross-functional teams across disciplines such as product, engineering and business. • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency

Title: Plasma Diagnostics Scientist Locations: Woburn, MA Vancouver, Canada Madison, WI Knoxville, TN Department: Engineering hybrid Job Description: If you are searching for the best new ideas and share our vision, join us as a Plasma Diagnostics Scientist. This is what you need to know: Location: Knoxville TN, Madison WI, Boston MA ,Vancouver BC or Culham UK Salary: Highly Competitive Plus Benefits Contract: Permanent, full time Reporting to: Director of Electrical and Software Engineering Your role in the mission: Type One Energy is seeking a Scientist with experience in fusion plasma diagnostics to join its growing team. As a Scientist, you will be responsible for leading a subset of diagnostic systems to support scientific investigations on our advanced fusion stellarator including development, deployment and operation. Your expertise will be instrumental in driving progress and ensuring the successful operation of diagnostic systems critical to achieving our research and commercial goals. The ideal candidate will also give technical advice and otherwise contribute to other teams of Engineers and Scientists on similar projects throughout Type One Energy. Responsibilities - Lead the conceptualization, design, construction, and deployment of a subset of plasma diagnostics such as probes, magnetics, microwaves, infrared, spectroscopy, lasers, optical, x-ray, and/or neutronics systems to ensure they meet technical feasibility. - Develop and apply data analysis and models to set requirements for plasma diagnostics and other in-vessel stellarator systems - Participate in planning, execution, and analysis of experiments. - Mentor and provide guidance to junior scientists and engineers, fostering a collaborative and productive work environment. What you’ll need: - Ph.D. in Physics, Engineering, or a related field with a strong focus on plasma physics, fusion energy, and/or diagnostics. - Extensive experience in designing, developing, and operating advanced diagnostic systems for fusion or plasma physics experiments. - Strong knowledge of diagnostic techniques and instrumentation commonly used in plasma physics, such as spectroscopy. - Proficiency in data acquisition, analysis, and interpretation using scientific software and programming languages (e.g., Python, MATLAB). - Excellent problem-solving skills with the ability to troubleshoot and resolve technical issues related to diagnostic systems. - Strong communication and interpersonal skills to collaborate effectively with multidisciplinary teams, present findings to diverse audiences, and contribute to scientific publications and proposals. - Familiarity with safety protocols and procedures related to fusion experiments and diagnostics. - Knowledge of fusion stellarator concepts, including device physics and operational requirements, is highly desirable We offer: In addition to a basic salary and yearly bonus, you will also get… - A hybrid work policy - Stock options - Relocation allowance - Insurance plans - Retirement options - And many more great voluntary benefits Type One Energy applies proven advanced manufacturing methods, modern computational physics and high-field superconducting magnets to develop its optimized stellarator fusion energy system. Our FusionDirect development program pursues the lowest-risk, shortest-schedule path to a fusion power plant over the coming decade, using a partner-intensive and capital-efficient strategy. Type One Energy is committed to community engagement in the development and deployment of its clean energy technology. Equal Opportunity Statement Type One Energy is an equal opportunity employer. We value diversity, searching for the best new ideas and remaining open to unique perspectives. Therefore, all qualified applicants will receive consideration for employment independent of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristics protected by applicable federal, state, or local laws. All qualified individuals are encouraged to apply.

Title: Health IT Data Scientist Location: Washington, DC Job Description: Red Pulley Technology Solutions, Inc. is seeking a Health IT Data Scientist II to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role applies statistical, predictive, and exploratory analytic techniques to complex healthcare and operational data to generate insights that inform strategic planning, performance monitoring, and evidence-based decision-making. All development, configuration, and implementation activities performed by this role are conducted within authorized Government-managed platforms and environments, subject to Government oversight, direction, and approval, with written authorization required prior to deployment to production environments. U.S Citizenship Required Location: Washington, DC Metro Area, DMV Area Clearance: Public Trust - Preliminary and Complete Fitness Determination Required Employment Type: Full-Time Minimum Qualifications: • Advanced degree or equivalent experience in Data Science, Statistics, or a related quantitative field • Advanced expertise applying statistical, predictive, and exploratory analytics to healthcare and operational data • Experience designing and implementing data models, forecasts, and analytic methodologies • Strong knowledge of healthcare data domains, including utilization, cost, quality, and performance metrics • Experience conducting cost modeling, trend analysis, and scenario forecasting • Skill in communicating complex analytic findings through reports, dashboards, and executive briefings Requirements Preferred Qualifications • Experience collaborating with Data Engineers to operationalize and scale analytic models • Experience developing repeatable analytic frameworks and methodologies for enterprise use • Familiarity with federal healthcare data governance, privacy, and security requirements • Experience supporting high-priority, time-sensitive analytical requests for senior leadership Key Responsibilities • Design and execute advanced data analysis, predictive models, and statistical methodologies using healthcare and operational data • Perform cost modeling, utilization analysis, trend analysis, and forecasting to support strategic planning • Collaborate with Data Engineers to operate analytic models and ensure scalability • Develop repeatable analytic frameworks and methodologies for enterprise use • Validate data sources, analytic assumptions, and model outputs to ensure accuracy and reliability • Translate analytic results into actionable insights through reports, dashboards, and executive briefings • Support leadership requests for high-priority, time-sensitive analyses • Document analytic methodologies, assumptions, and limitations Benefits: At Red Pulley Technology Solutions, we invest in our people so they can deliver exceptional results in support of critical missions. Our comprehensive benefits package includes: - Competitive compensation aligned with experience and market conditions - 401(k) retirement plan with company matching to support long-term financial security - Comprehensive health coverage, including medical, dental, and vision insurance - Health Savings Account (HSA) and Flexible Spending Account (FSA) options - Life insurance coverage for added peace of mind - Generous paid time off (PTO) to support work-life balance - Parental leave for growing families - Professional development assistance, including training and certification support - Tuition reimbursement to encourage continued education and career advancement Our benefits reflect Red Pulley’s commitment to workforce stability, professional growth, and creating an environment where mission-focused professionals can thrive. Affirmative Action/EEO statement Red Pulley is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.