Data Scientist - MBIS

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.

Build predictive models based on business data, including data preparation, feature engineering, model selection, and model evaluation techniques and measures. Coordinate with data engineering team to scale and deploy models and their related data pipelines into production within our Azure/Databricks environment.

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.

• 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!

• Perform data mining, exploration, and analysis.
• Design, train, evaluate and implement machine learning algorithms and predictive models.
• Work with stakeholders to identify opportunities for improving business processes and addressing current pain points, using data insights, forecasts, and analytics.
• Develop and implement analytics‑enabled solutions to improve business process, generate insights, and support business goals.
• Develop Key Performance Indicators (KPIs), metrics, trend tracking, prediction, and forecasting models.
• Evaluate and understand complex issues from business partners and recommend solutions.
• Generate visualizations using tools like Tableau to provide business insights.
• Work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment.
• Perform other duties as assigned.

• Bachelor's degree in data science, data analytics, or related field; or comparable job experience.
• Two years’ experience in predictive modeling and machine learning.
• Proficiency in Python and SQL.
• Knowledge of data science toolkits such as Num Py, Pandas and Mat Lab.
• Experience with Azure and Databricks platforms.
• Ability to work closely with team throughout all phases of projects: requirements definition, design, development, test and evaluation, demonstration, and deployment.
• Availability to work majority of shift during United States hours (overlapping with 8am‑5pm central time zone).
• 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.

• Teamwork oriented
• Organized
• Problem solver
• Detailed

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

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