Principal Data Scientist - CoreAI

Supply executives with time-critical analyses that steer major investment decisions. Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication. Identify and prioritize high ROI data opportunities for your individual work and the broader team. Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI. Mentor other data scientists, engineers, and PMs. Operationalize models and reporting. Leverage AI to accelerate workflows and amplify team productivity. 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 5+ 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 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. These requirements include, but are not limited to the following specialized security screenings: 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins. 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R. 5+ years of experience designing and analyzing experiments and causal inference studies. 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses. Experience using AI tools in data science and analytics workflows. Experience both prototyping and deploying data products.