Data Scientist, Datacenter

Leverage expertise to measure the performance of Copilot, identify failure modes and novel mitigation strategies, including data mining, prompt engineering, LLM as a judge, and cla…

• 7 days ago

Apply their expertise in quantitative analysis, data mining, and the presentation of data to develop econometric/ ML models Understand fundamental business dynamics impacting demand, and develop automated statistical solutions for forecasting. Develop E2E models in Python - including data manipulation, model building and business applications Work closely with program managers, users and stakeholders to gather requirements, prioritize features, and drive good design. Collaborate with access control to ensure compliance and data security. Drive continuous improvement through good documentation, adherence to agile methodology, and commitment to measuring success. Be an active member of the Data Science Center of Excellence by staying up to date on technology and proactively participating in efforts to document and promote Power BI best practice. Embrace AI both to improve your productivity as a developer and enable new self-service capabilities for users. Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience These requirements include but are not limited to the following specialized security screenings: Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) AND/OR practical experience is required. Experience developing and deploying predictive analytics, econometric, machine learning, or forecasting models that drive business decision-making. Demonstrated experience in solving complex problems across demand and supply operations. Proficiency in Python, including data wrangling, statistical analysis, model development, automation, and productionization of analytics solutions. Proven ability to translate statistical concepts and insights into clear, actionable information for a broad range of audiences. Experience translating business requirements into scalable analytical solutions through close collaboration with program managers, stakeholders, and end users. Demonstrated ability to leverage AI-powered tools and copilots to improve development productivity, automate workflows, and enhance self-service analytics capabilities.