• Map the Business of Healthcare workforce by developing a role and skills taxonomy • Gather and analyze trends in job postings, skills demand, hiring activity, compensation, and workforce pathways • Structure, clean, and classify AAPC’s existing member, role, and workforce data • Conduct interviews with employers, educators, and healthcare workforce leaders • Evaluate and integrate external labor datasets (BLS, ONET, job postings, surveys, etc.) • Use data to unlock insights and tell stories. Turn complex findings into clear, actionable insights that help guide key business decisions. • Produce research briefs, role profiles, workforce snapshots, and insights reports • Build early workforce dashboards using tools like Power BI or Tableau • Work closely with peers and leaders within AAPC to understand business needs and collaborate on designing impactful and actionable solutions. Lay the groundwork for scalable workforce insights, benchmarks, and data products • Partner with internal teams and external research partners to define the future of AAPC’s workforce intelligence capability

• Develop and validate pharmacometric models to support dose selection, trial design, and decision-making • Analyze and interpret complex pharmacokinetic (PK) and pharmacodynamic (PD) data • Author and review technical protocols, analysis plan, reports, and scientific publications • Review regulatory documents in area of expertise • Propose innovative quantitative pharmacology approaches and optimize modeling processes • Collaborate with clinical pharmacology, biostatistics, regulatory, and clinical development teams • Communicate modeling results and their implications to cross-functional teams and senior management • Oversee multiple pharmacometric projects, ensuring timely delivery of high-quality outputs • Manage project oversight, quality, and budget control

• Design and implement radiometric calibration and image processing of the multispectral infrared imagery from Muon’s FireSat mission. • Research and development to improve foundational data calibration and processing. • Implement and operate production pipelines for calibration and data processing. • Write production-ready code. • Work cross functionally within the team and across Muon to design, build, and maintain operational services from Muon’s core remote sensing missions • Learn new topics as needed (measurement techniques, geospatial data engineering, software engineering, customer domain-specific implications)

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: - Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. - Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. - Mentor and guide other Data Scientists, providing thought leadership and technical direction. - Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. - Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. - Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. - Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. - Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. - Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Qualifications - Master’s or PhD in Statistics, Economics, or Econometrics. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. - Bonus: Passion for video games, player communities, or the gaming industry. Requirements - Master’s or PhD in Statistics, Economics, or Econometrics. - 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). - Deep expertise in A/B testing and causal inference, including quasi-experimental methods. - Proficiency in SQL and Python for data extraction, transformation, and analysis. - Broad and applied knowledge of statistical techniques. - Experience with machine learning modeling is a plus. - Proven ability to influence product and business decisions through clear, actionable insights. - Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. - Bonus: Passion for video games, player communities, or the gaming industry. Benefits - Medical, dental, and vision coverage. - Matching 401(k) plan. - Paid time off. - Wellness program. - Employee discounts for Sony products. - Potential eligibility for a bonus package.