Principal Data Science Analyst

The Principal Data Science Analyst will play a critical role in developing advanced analytical and machine learning solutions that support strategic initiatives across Sales, Vendor Management, Cloud, eCommerce, Finance, and Supply Chain. This role combines hands‑on modeling, deep analytical thinking, and strong business partnership.

• Break down highly complex, ambiguous business problems into structured analytical approaches, proposing innovative and technically sound solutions.
• Drive solution discovery with stakeholders by clarifying requirements, defining analytical feasibility, and shaping technical roadmaps for high‑impact initiatives.
• Act as a self‑starter who independently scopes, leads, and delivers analytical work streams with minimal guidance, while ensuring timely, high‑quality outputs.
• Deliver insights for revenue growth, customer patterns, and operational efficiencies and translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders.
• Build, optimize, and deploy predictive and machine learning models.
• Lead analytics work streams and collaborate with cross‑functional teams.
• Apply strong financial and analytical judgment to rapidly identify opportunities and act decisively, even when information is incomplete.

• Bachelor’s degree (master’s preferred) in a quantitative field.
• 8+ years of functional experience, including a minimum of 5+ years of position specific experience in data science or advanced analytics.
• Advanced SQL skills and experience with GCP (Big Query, Vertex Ai a plus).
• Proficiency in visualization tools such as Google Looker, Qlik, Power
  
  BI, Plotly Dash.
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.).
• Strong communication skills and ability to influence decisions.
• Demonstrates innovative thinking with the ability to challenge entrenched assumptions, navigate ambiguity, and quickly adapt in fast‑changing environments.
• Exceptional storytelling and presentation skills, with the ability to build compelling executive‑ready materials and clearly communicate complex analytical insights to diverse audiences.

• Experience in B2B, distribution, or supply‑chain analytics.
• Knowledge of MLOps and model deployment.
• Exposure to GenAI, LLM workflows, or automation solutions.

• Opportunity to impact enterprise‑wide analytics programs.
• Work with data at massive global scale.
• Contribute to Ingram Micro’s digital transformation.
• Collaborate with high‑impact analytics and technology teams.