Principal Data Scientist

About this role

Business Understanding and Impact Drives alignment between customer business priorities and data science strategy across complex engagements, solution areas, or industry scenarios. Frames ambiguous business problems into scalable data science opportunities and defines approaches that balance time to value, technical feasibility, risk, and long-term maintainability. Makes high-judgment recommendations on solution direction, methodological tradeoffs, and delivery priorities where decisions affect multiple stakeholders, workstreams, or long-term platform choices

Assesses resources, dependencies, risks, assumptions, and constraints across multiple workstreams and uses that judgment to influence direction and prioritization. Uses deep understanding of organizational dynamics, cross-team interdependencies, schedule constraints, and resource tradeoffs to drive action from partners and senior stakeholders. Translates business strategy into data and AI strategies for specific industries and cross-industry functions such as Sales, Marketing, Operations, and data monetization

Leads senior customer conversations to define problems, shape solution direction, and identify reusable patterns that can improve outcomes beyond a single engagement. Raises the bar for others through guidance on standards, decision frameworks, and best practices. Guides teams and customers in identifying the data required to achieve business outcomes and highlights material gaps, risks, and tradeoffs early

Establishes repeatable approaches for assessing and improving data usability for modeling, experimentation, and operationalization. Establishes methodological standards for feature engineering, validation design, regularization, experimentation, optimization, and evaluation, including practices around leakage prevention, bias/variance tradeoffs, robustness, and model limitations. Designs hypotheses and experiments, interprets results with statistical and business rigor, and communicates implications

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