• 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.

Role Description Supports U.S. Customs and Border Protection. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Qualifications - Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related quantitative or mathematical discipline. - At least three (3) years of direct experience in machine learning. - Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. - Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. - Ability to communicate analysis techniques, concepts and products. - Ability to develop data-driven solutions, data models, and visualizations. Requirements - Expertise using Qlik to embed visualizations into webpages. - Familiarity with Databricks or similar cloud-based distributed database technologies. - Familiarity with PySpark and Python. - Comfortable developing complex SQL queries to extract, transform, and load data. - Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g., ARIMA). - Experience implementing NLP concepts including preprocessing (stemming, etc.), TF-IDF, Named Entity Recognition, and LLMs. Benefits - Competitive Salary and Benefits. - Important Work / Make a Difference: supporting Customs and Border Protection in their efforts to protect the United States. - Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. - Remote Work: in an industry of declining remote work opportunities. - People-Focused Culture: we prioritize work-life balance and provide a positive, supportive work environment as well as opportunities for professional growth and advancement. - Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.