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Metro location plus generalist analytics and ML requirements create moderate competition for qualified applicants.
Core analytics and ML skills transfer across industries, though B2B/supply-chain experience is preferred.
Explicit 8+ years requirement plus mandatory analytics, ML and cloud tooling makes filtering strict.
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Develop and deploy advanced analytical and machine learning solutions across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.
Lead and deliver analytical projects independently, including breaking down complex business problems and translating insights into actionable recommendations for technical and non-technical stakeholders.
Collaborate cross-functionally to drive solution discovery, define technical roadmaps, and deliver insights for revenue growth, customer behavior, and operational efficiency.
Bachelor’s degree in a quantitative field; Master’s degree preferred.
8+ years of functional experience with at least 5+ years in data science or advanced analytics.
Advanced SQL skills and experience with Google Cloud Platform (BigQuery required; Vertex AI a plus).
Proficiency in Python for analytics/modeling and visualization tools like Google Looker, Qlik, PowerBI, or Plotly Dash.
Experienced in leading data science workstreams within complex, cross-functional business environments.
Strong strategic problem solver comfortable with ambiguity and driving high-impact analytics initiatives end-to-end.
Background or knowledge in B2B, distribution, supply chain analytics, and familiarity with MLOps or model deployment workflows.