Senior Data Scientist

In this role, you will own ambiguous, high-impact analytical problems from problem definition through solution deployment and adoption. You will identify and integrate relevant data sources, define analytical approaches and success criteria, develop statistical, machine learning, and AI-powered solutions, and translate findings into clear recommendations for business and technical leaders. You will design scalable and reusable analytical methods while ensuring quality, privacy, security, and responsible AI practices. Key areas of focus for this specific position are: Business Understanding and Impact Develop a deep understanding of commercial business priorities, seller and leader workflows, and the decisions that insights must enable. Translate ambiguous business questions into structured analytical problems, measurable success criteria, and scalable data science solutions. Clearly communicate methods, findings, limitations, and recommended actions to technical, business, and executive audiences. Measure the adoption and business impact of delivered solutions Apply modern AI, machine learning, statistical modeling, experimentation, and agentic approaches to transform how commercial insights are generated, synthesized, and delivered. Apply responsible AI principles and establish appropriate quality and evaluation measures. Develop scalable analytical solutions and data products that translate complex data into actionable insights and decision support. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience working with large, distributed, and complex data sets to generate actionable insights and recommendations. Demonstrated experience applying statistical analysis, experimentation, machine learning, or AI to solve business problems. Experience developing reusable analytical methods, models, data products, or decision-support solutions from conception through production and adoption. Strong written and verbal communication skills, including the ability to translate complex analytical findings into clear executive narratives. Demonstrated ability to influence across organizational boundaries and build trusted relationships with business, engineering, finance, and technical stakeholders. Experience operating effectively in ambiguous environments, prioritizing competing needs, and delivering measurable outcomes. Experience providing technical leadership, mentoring others, or establishing analytical best practices is preferred.