Data Science Director

McLane Company, Inc.


Date: 8 hours ago
City: Temple, TX
Contract type: Full time
Take your career further with McLane!

McLane teammates, the driving force behind our success, are diverse professionals who work together seamlessly to keep our operations running smoothly. As a teammate, you will pair your dedication, expertise, and collaborative spirit with your fellow teammates to serve America’s most beloved brands. McLane leaders think long-term, act with purpose, and inspire high performance. They lead with accountability, communicate clearly, and drive results through collaboration, innovation, and continuous growth. They empower each teammate to learn from industry leaders, develop their skills, and build lasting connections nationwide.

Leads end-to-end data science initiatives, including designing and deploying machine learning models for search, ranking, and recommendation systems. Collaborates cross-functionally collaboration, mentors data scientists, and establishes standardized processes to deliver scalable, production-grade solutions.

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 You Can Count On

  • 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!


What You’ll Do As a Data Science Director

  • 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 communicating your insights and plans to cross-functional team members and management.
  • Perform other duties as assigned.


Qualifications You’ll Bring As a Data Science Director

  • 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 the following:
  • Statistical and machine learning techniques.
  • Data Science libraries in 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.
  • This position requires the ability to read, write, and understand English at a level sufficient to perform job-related tasks effectively and safely. This includes understanding work instructions, safety protocols, and communications essential to the role. The requirement is directly related to the nature of the job and ensures compliance with workplace safety and operational standards.


Fit the following? We want you here!

  • Teamwork oriented
  • Organized
  • Problem solver
  • Detailed


Our roadmap. Our story.

We’ve been forging our path as a leader in the distribution industry since 1894. Building an expansive nationwide network of team members for 130+ years has allowed us to stay agile for our clients across the restaurant, retail, and e-commerce industries. We look to the future and are ready to continue making industry-defining moves by embracing the newest technology into our practices, continuing team member training, and emphasizing our people-centered culture.

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

All 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.

For our complete EEO and Pay Transparency statement, please visit https://www.mclaneco.com/legal/employment/

Primary Location United States-Texas-Temple

Work Locations North Campus

Business Unit

IS970

Job Information Technology

Schedule Full-time

Shift 1st - Day

Employee Status Regular

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