Data Science Director

McLane Company-posted 4 months ago

Full-time • Senior

Hybrid • Temple, TX

5,001-10,000 employees

Food Services and Drinking Places

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As a Data Science Director at McLane, you will lead end-to-end data science initiatives, including designing and deploying machine learning models for search, ranking, and recommendation systems. This role involves collaborating cross-functionally, mentoring data scientists, and establishing standardized processes to deliver scalable, production-grade solutions. The position is hybrid, requiring the candidate to work from the office three days a week, and candidates should be within a 50-minute radius from Temple, TX.

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 deliver business benefits.
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 business stakeholders and product 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 communicate insights and plans to cross-functional team members and management.
Perform other duties as assigned.

MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND three years minimum of experience as a data scientist in Logistics or Retail.
7 or more years' experience in data science. Two or more years' experience as a data scientist in eCommerce, Supply Chain or Logistics.
3 or more years' experience in leading data scientists.
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 statistical and machine learning techniques.
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.

Teamwork oriented
Organized
Problem solver
Detailed

Day 1 Benefits: medical, dental, and vision insurance, FSA/HSA, and company-paid life insurance
Paid time off begins day one.
401(k) Profit Sharing Plan after 90 days.
Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs, discount programs, tuition reimbursement program, and more!

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