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Senior, specialized ML/data role at a mid-tier employer yields moderate candidate competition.
Medium because analytics skills transfer broadly but supply‑chain and B2B domain experience is preferred.
High due to explicit 8+ years and mandatory GCP, advanced SQL, Python, and visualization skills.
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Develop advanced analytical and machine learning solutions supporting key business areas including Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain.
Lead and independently deliver analytical workstreams by breaking down complex business problems into structured data-driven solutions and shaping technical roadmaps.
Translate complex data insights into actionable recommendations for stakeholders and build, optimize, and deploy predictive and machine learning models.
Bachelor’s degree in a quantitative field; Master’s preferred.
8+ years of functional experience, including minimum 5+ years in data science or advanced analytics.
Advanced SQL skills and experience with Google Cloud Platform tools (Big Query, VertexAI a plus).
Proficiency in Python for statistical modeling and visualization tools like Google Looker, Qlik, PowerBI, or Plotly Dash.
Experienced in leading analytics workstreams independently with minimal supervision, capable of scoping and delivering high-impact solutions.
Strong ability to convert complex data into clear, executive-ready insights and influence business decisions.
Background or exposure in B2B, distribution, or supply chain analytics, and familiarity with MLOps, model deployment, or Generative AI/LLM workflows is advantageous.