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Mid-level generalist data role, metro locations, and broad skillset make applicant competition high.
Skills are transferable across industries but preference for finance/PE and consulting experience raises sensitivity to background.
Explicit 5+ years requirement plus mandatory data science skills and strategic advisory experience increases shortlisting strictness.
Own identification and quantification of strategic business opportunities through deep data analysis and modeling.
Work with leadership to translate analytical insights into actionable growth strategies impacting market expansion, pricing, resource allocation, and competitive positioning.
Lead strategic initiatives from conception to execution including measurement of impact and iterative improvement; may require travel to client sites for AI assessment and strategy engagements.
5+ years experience in data science, engineering, or data engineering with increasing strategic responsibility.
Strong proficiency in data science, statistics, machine learning, quantitative analysis, and modern data science tools including Python, R, and SQL.
Experience directly working with business leaders to influence strategy through data-driven recommendations.
This position is US-based, candidates must be local to chosen office location; role not eligible for immigration sponsorship.
Combines strong quantitative skills with a strategic mindset to anticipate business needs and advise on market and growth strategies.
Proven track record of using data to influence business decisions and drive measurable growth in complex or high-growth environments.
Experience in consulting or corporate strategy roles with hands-on data work, comfortable communicating complex analytics to technical and executive audiences.