Sr. Manager, Data Science

McLane Company - Temple, TX

Full-time - Senior

Hybrid - Temple, TX

Merchant Wholesalers, Nondurable Goods

About the position

The Sr Manager, Data Science at McLane will lead a team of data scientists in delivering impactful projects related to supply chain, procurement, and inventory management within the Retail and Restaurant sectors. This role requires a hands-on leader who can operate autonomously, communicate effectively across all levels of the organization, and drive the data science strategy and roadmap.

Responsibilities

• Lead, research, strategize, design, implement, document and communicate Data Science initiatives end-to-end, from incubation to deployment.
• Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals.
• Facilitate the delivery of enterprise-wide, production-grade, and accurate data science products by establishing and standardizing tooling and process frameworks for standard methodologies.
• Investigate the design and performance of models and fine-tune as necessary.
• Work closely with product and engineering managers to develop and deploy solutions with cross-functional support.
• Build a team of data scientists and provide mentorship to less experienced data scientists.
• Educate business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning).
• Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking.
• Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the organization.
• Effectively communicate insights and plans to cross-functional team members and management.

Requirements

• MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in Logistics or Retail.
• 8+ years of experience as a data scientist in eCommerce, Supply Chain or Logistics.
• Hands-on experience in building ranking and recommendation models in production environments.
• Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems.
• Expert knowledge in statistical and machine learning techniques, data science libraries in a programming or scripting language, model deployment, and machine learning workflows.
• Proficient in Python and related ML libraries and frameworks (e.g., PyTorch).
• Proficient in SQL and working with large datasets.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks).
• Excellent communication and presentation skills to both technical and business audiences.
• Exceptional leadership and communication skills, with the ability to effectively collaborate with cross-functional teams.

Nice-to-haves

• MS Azure or Fabric experience/knowledge.

Benefits

• Medical, dental, and vision insurance available from Day 1.
• FSA/HSA options.
• Company-paid life insurance.
• 401(k) with annual company match.
• Paid holidays.
• Responsible Off (RTO).
• College tuition reimbursement.