Data Scientist, Procurement (Remote)

Company: Gerber Collision & Glass

WELCOME TO GERBER COLLISION & GLASS
 
Our Team Members Drive Us! Gerber Collision & Glass is one of the largest collision repair companies in North America. With $2+ billion in sales, over 800 locations and growing, our 10,000+ team members across the United States and Canada are passionate about delivering our goal to WOW Every Customer and Be the Best! 
 
We invite you to join our team. Gerber offers a great place to launch and grow careers. As we continue to grow, we have endless opportunities for you to grow with us. 
 
Gerber Collision & Glass recognizes, values and welcomes all applicants with unique talents and abilities from all backgrounds and characteristics. All qualified individuals are encouraged to apply, including individuals with disabilities and Protected Veterans.
 

Job Description:

As a Data Scientist, you will be responsible for applying advanced analytics and data-driven models to optimize supplier performance, procurement strategies, and resource allocation. This role will partner closely with Central Buying and Supplier Management teams to generate actionable insights, leveraging machine learning models, and support decision-making that drives cost savings, supplier performance, and operational efficiencies.

Key Job Responsibilities 

• Develop Advanced Models for Supplier Optimization: Build predictive models and optimization algorithms to improve supplier selection, drive discount expansion, and optimize sourcing decisions.
• Collaboration: Partner with cross-functional teams to develop dashboards, visualizations, and monitoring systems that provide insights into procurement operations.
• Communicate Strategic Insights: Provide clear updates and insights to cross functional team to help inform strategy
• Identify and Mitigate Risks: Proactively identify risks that could impact strategic objectives and partner to develop comprehensive mitigation strategies to minimize potential disruptions.
• Drive Process Improvement: Continuously identify opportunities for process enhancement and innovation within the organization to improve efficiency and effectiveness.
• Support Decision-Making with Data Analysis: Utilize data-driven insights to support decision-making across the supply chain, ensuring alignment with business goals.
• Conduct Experimentation and A/B Testing: Test the effectiveness of pricing strategies, discount programs, and supplier diversification initiatives.
• Evaluate Cost Optimization Opportunities: Regularly assess cost drivers and identify opportunities for savings through supplier negotiations, process efficiencies, and strategic sourcing.
• Build Data Science Roadmap: Develop and implement a roadmap for building and optimizing the analytics infrastructure needed to support the data science team, enabling advanced analytics and AI based solutions.

Education and/or Experience Requirements

• Bachelor’s or Master’s in Data Science, Statistics, Business or a related field.
• 3+ years of experience working as a Data Scientist or in a similar role.
• Strong understanding of procurement, supply chain, or operations analytics preferred.
• Familiarity with SQL, Python, R, and cloud platforms such as AWS.
• Knowledge of supervised and unsupervised machine learning algorithms, time-series analysis, and optimization techniques (e.g., linear programming, clustering, ARIMA). 

Required Skills/Abilities

• Machine Learning & Statistical Analysis: Strong expertise in predictive modeling, regression analysis, clustering, and optimization techniques.
• End-to-End Data Science Workflows: Experience building complete data science solutions, from data collection and cleaning to model development, deployment, and monitoring.
• Data Management: Experience working with large datasets and building ETL pipelines.
• Data Visualization & Communication: Proficiency with Power BI, Tableau, or similar tools to communicate complex data insights effectively.
• Analytical Thinking: Ability to translate business challenges into analytical problems and deliver actionable solutions.
• Collaboration: Comfort working in cross-functional teams and collaborating with technical and non-technical stakeholders.
• Problem-Solving: Proactive approach to identifying inefficiencies and proposing scalable solutions.
• Change Leadership: Ability to influence and inspire cross-functional teams, encouraging adoption of data-driven changes across procurement and supplier management.
• Detail oriented
• Ability to build relationships and influence
• Great communication skills

Other Requirements

• Work from Home opportunity but may be asked to travel to corporate office for special meetings
• Ability to utilize Google Suite for managing internal business controls
• Capable of working independently and with minimum supervision

Benefits That Drive Your Success
Gerber offers the comprehensive benefits you expect from an industry leader, including:

• Annual Paid Time Off (PTO) plans
• 2 weeks of Paid Parental Leave for Full time Employees who work a minimum of 30 hours per week
• 6 paid holidays annually
• Medical, Prescription Drug, Dental & Vision Insurance effective Day 1
• 401(k) Retirement Plan with company match
• Employer Paid Short-Term Disability & Life Insurance
• Additional Voluntary Life Insurance
• Continuing Education Opportunities
• Free Prescription or Non-Prescription Safety Glasses annually
• Annual Voluntary Uniform Stipend

Gerber Collision & Glass is proud to be an equal opportunity employer committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status, or any other consideration, prohibited by law or by contract.

About Us
Gerber Collision & Glass has been WOWing customers with our collision repair services for over 80 years. Please visit gerbercareers.com to learn more about our company.

Compensation Details:

67,600.00 - 96,500.00 - 125,500.00 USD plus 5% bonus