Sr. Manager, Data Science

McLane is one of the largest and most stable supply chain services leaders in the United States. We've been at the forefront of delivering retail and restaurant solutions for convenience stores, mass merchants, drug stores, and chain restaurants for over 125 years. Our vision is to be an agile, innovative, and unified supply chain partner that delivers a superior customer experience, improves the lives of our teammates and community, and produces best-in-class returns.

McLane is looking for a Sr Manager, Data Science to join our fast-paced Data CoE team! As the Lead Data Scientist on the Data CoE team, you'll have the opportunity to work on a wide variety of high impact projects related to supply chain, procurement and inventory management within Retail and Restaurant sector. The ideal candidate will be hands-on lead and grow a team of data scientists supporting the data science strategy and roadmap. This role has a meaningful impact on the overall business, requiring the candidate to operate with a high degree of autonomy and effectively communicating insights and plans to all levels of the organization.

This is a hybrid position which will require the candidate to report and work from the office three days a week. Therefore, interested candidates should be within a 50-minute radius from Temple, TX.

BENEFITS:

• Day 1 Benefits available: medical, dental, and vision insurance, FSA/HSA and company-paid life insurance.
• Get paid early. Get paid fast.
• 401(k) with annual company match.
• Paid holidays, Responsible Off (RTO), college tuition reimbursement, and more!

ESSENTIAL JOB FUNCTIONS / PRINCIPAL ACCOUNTABILITIES:
Other duties may be assigned. A teammate in this position must have the ability to:

• 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 team of data scientists and provide mentorship to less experienced data scientists.
• Educate our 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 org.
• Effectively communicating your insights and plans to cross-functional team members and management.

MINIMUM SKILLS AND QUALIFICATION 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.
• Or, 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 and ability to demonstrate hands on capabilities with the following:
• Statistical and machine learning techniques.
• Data Science libraries in a programming or scripting language Model deployment.
• Machine learning workflows.
• Proficient in:
• Python + related ML libraries and frameworks (Ex: 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, present findings to senior teams, and drive a data-driven culture within the organization.
• MS Azure or Fabric experience/knowledge a plus.

WORKING CONDITIONS:

• Office environment

Candidates may be subject to a background check and drug screen, in accordance with applicable laws.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.