Sr Data Scientist
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 9, 2026. McLane Company scores B on the Alion truth index.
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.
Responsible for leading the design, development, and deployment of advanced data science and machine learning solutions that drive business value and operational efficiency. Ensures the delivery of scalable, production-grade models and analytics capabilities aligned with business objectives, data governance standards, and enterprise architecture.
Operating with a high degree of independence, owns the end-to-end model lifecycle and serves as a technical leader within the data science function. Partners closely with cross-functional stakeholders to translate complex business problems into data-driven solutions and establishes best practices across ML/AI, MLOps, and DataOps disciplines.
This is a hybrid position which will require the candidate to report and work from the office at least 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:
- Lead the design, development, and deployment of advanced machine learning and AI solutions.
- Own and manage the end-to-end model lifecycle, including problem definition, feature engineering, model training, validation, deployment, and monitoring.
- Build, test, and deploy production-grade models using Python, statistical methods, and modern machine learning techniques.
- Implement and maintain MLOps and DataOps best practices, including CI/CD pipelines, model monitoring, and governance frameworks.
- Deploy and manage models in cloud environments (GCP and Azure) using Docker and containerized workflows.
- Collaborate with cross-functional teams to translate business requirements into scalable and actionable data solutions.
- Establish and enforce technical standards, frameworks, and best practices for data science and model development.
- Mentor and provide technical guidance to junior data scientists and team members.
- Monitor model performance and ensure accuracy, reliability, and scalability of deployed solutions.
- Identify opportunities to enhance data science capabilities, automation, and operational efficiency.
- Clearly communicate complex analytical concepts and insights to both technical and non-technical stakeholders.
- Escalate risks, issues, or model performance concerns appropriately.
- Perform other duties as assigned.
What We're Looking For:
- Bachelor’s degree in computer science, Information Systems, Cybersecurity, or a related field, or equivalent relevant experience.
- 4 years of experience working with Security Administration across Mainframe, Unix, and Windows environments
- 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/
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.
Responsible for leading the design, development, and deployment of advanced data science and machine learning solutions that drive business value and operational efficiency. Ensures the delivery of scalable, production-grade models and analytics capabilities aligned with business objectives, data governance standards, and enterprise architecture.
Operating with a high degree of independence, owns the end-to-end model lifecycle and serves as a technical leader within the data science function. Partners closely with cross-functional stakeholders to translate complex business problems into data-driven solutions and establishes best practices across ML/AI, MLOps, and DataOps disciplines.
This is a hybrid position which will require the candidate to report and work from the office at least 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:
- Lead the design, development, and deployment of advanced machine learning and AI solutions.
- Own and manage the end-to-end model lifecycle, including problem definition, feature engineering, model training, validation, deployment, and monitoring.
- Build, test, and deploy production-grade models using Python, statistical methods, and modern machine learning techniques.
- Implement and maintain MLOps and DataOps best practices, including CI/CD pipelines, model monitoring, and governance frameworks.
- Deploy and manage models in cloud environments (GCP and Azure) using Docker and containerized workflows.
- Collaborate with cross-functional teams to translate business requirements into scalable and actionable data solutions.
- Establish and enforce technical standards, frameworks, and best practices for data science and model development.
- Mentor and provide technical guidance to junior data scientists and team members.
- Monitor model performance and ensure accuracy, reliability, and scalability of deployed solutions.
- Identify opportunities to enhance data science capabilities, automation, and operational efficiency.
- Clearly communicate complex analytical concepts and insights to both technical and non-technical stakeholders.
- Escalate risks, issues, or model performance concerns appropriately.
- Perform other duties as assigned.
What We're Looking For:
- Bachelor’s degree in computer science, Information Systems, Cybersecurity, or a related field, or equivalent relevant experience.
- 4 years of experience working with Security Administration across Mainframe, Unix, and Windows environments
- 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/