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Senior (8+) specialized data role with preferred ML/GCP skills reduces applicant density.
Core analytics and ML skills transfer across industries, though supply‑chain/B2B domain knowledge is preferred.
Explicit 8+ years, 5+ years data science, GCP/SQL/Python mandatory increases filter strictness.
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Develop and deploy advanced analytical and machine learning solutions supporting strategic initiatives across multiple domains including Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.
Lead analytics workstreams independently from scoping to delivery, ensuring high-quality, timely outputs and solution discovery with cross-functional stakeholders.
Deliver actionable insights for revenue growth, customer patterns, and operational efficiencies by translating complex data to technical and non-technical audiences.
Bachelor's degree in a quantitative field; Master's degree preferred.
8+ years of functional experience with at least 5+ years specifically in data science or advanced analytics.
Advanced SQL skills and experience with Google Cloud Platform services (BigQuery, Vertex AI considered a plus).
Proficiency with Python for data analysis and modeling, and experience with visualization tools such as Google Looker, Qlik, PowerBI, or Plotly Dash.
Experienced in leading complex analytics projects across multiple business functions with minimal supervision.
Skilled in developing and deploying predictive and machine learning models, with familiarity in MLOps and model deployment.
Comfortable working in ambiguous, fast-changing environments with strong storytelling and executive-level communication skills to influence decisions.