Senior Data Scientist

Role Overview

The Senior Data Scientist will own ambiguous, high-impact analytical problems, develop scalable and reusable analytical methods, and translate findings into clear recommendations for business and technical leaders.

What You Will Do

In this role, you will identify and integrate relevant data sources, define analytical approaches and success criteria, develop statistical, machine learning, and AI-powered solutions, and communicate methods, findings, limitations, and recommended actions to technical, business, and executive audiences.

Why It Might Be a Fit

The ideal candidate will apply statistical analysis, machine learning, AI, experimentation, and compelling data storytelling to influence decisions and deliver measurable business impact at scale.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
• Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
• Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science 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 with Microsoft Fabric, Azure AI Foundry, Kusto, Power BI, GitHub Copilot, or related Microsoft AI and analytics technologies is preferred
• Experience providing technical leadership, mentoring others, or establishing analytical best practices is preferred

Tagged as: Power BI