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Mid-level generalist title, 5+ years, metro location, and broad skill requirements increase competition.
Hybrid data science and strategy skills transferable across industries but favors finance/PE domain expertise.
Explicit 5+ years, mandatory ML/statistics and strategic advisory experience create high shortlisting strictness.
Own strategic initiatives leveraging data science to identify growth opportunities and influence major business decisions from market expansion to pricing and resource allocation.
Develop and implement analytical frameworks and models that translate complex data into actionable insights for leadership and clients.
Lead AI assessment and strategy engagements including travel to client sites as necessary, ensuring measurable business impact and iteration based on outcomes.
5+ years of experience in analytical roles with increasing strategic responsibility.
Strong foundation in statistics, machine learning, quantitative analysis, and proficiency in data science tools such as Python, R, SQL.
Demonstrated experience influencing business strategy through data and communicating effectively with both technical and executive audiences.
Role not eligible for immigration sponsorship; hybrid US locations with expectation to be local to office (Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York City, San Francisco).
Experience integrating data science and business strategy within management consulting, high-growth companies, or corporate strategy roles with hands-on data work.
Ability to navigate complex business models and competitive dynamics, and to engage confidently with executive leadership on market and growth strategies.
Skilled in translating quantitative analysis into accessible, actionable insights that drive measurable change in business operations and growth.