Snap-on Industrial is seeking a great candidate to join our team.

Snap-on is a drug free work environment and welcomes all qualified candidates to apply.

Local candidates are strongly encouraged to apply as we are not offering relocation assistance at this time.

In this role you will:

• Analyze inventory and supply chain data, use methods to predict and improve delivery of products to customers, while optimizing inventory utilization. 
• Identify and define complex business problems utilizing data to drive future inventory and supply chain business strategies.
• Develop business models and high-quality prediction systems, leveraging machine learning algorithms and artificial intelligence tools to prioritize various improvement models for implementation.
• Define and monitor success metrics to drive the greatest results for business improvement strategies. 

• Lead all data experiments for the Industrial business.
• Provide previously undiscovered solutions to both data and operational challenges.
• Use predictive modeling to increase and optimize customer experiences, resource allocation, SG&A reduction, and inventory efficiency.
• Work with stakeholders throughout the organization to identify opportunities to leverage both company and external data to drive business solutions.
• Evaluate business processes, anticipate requirements, identify areas for improvement.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models, machine learning algorithms, and AI to apply to data sets.
• Develop processes, testing techniques and tools to monitor and analyze model performance and accuracy.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Act as liaison between Industrial and Corporate I/T for development of business requirements for various systems and reports.
• Perform all other tasks as assigned by management.

• Bachelor’s degree in computer science, statistics, applied mathematics, or related field required; Master’s degree preferred
• Passionate about new technologies with the ability to leverage them to add value to the business
• Strong oral and written communication skills, with the ability to interact effectively with technical resources and across functional boundaries
• Ability to work in a fast-paced, team-oriented environment, handling multiple tasks and projects, while meeting established deadlines
• Exceptional analytical and conceptual thinking skills
• Demonstrates good judgment in selecting methods and techniques for obtaining solutions
• Proactive, decisive, action-oriented individual
• Thorough understanding of business operations
• Proficient with one or more programming languages (Python, R, etc); experience using machine learning algorithms and AI Tools
• Demonstrated experience applying data science methods to real-world data problems
• Experience utilizing visualization tools such as Tableau
• Working knowledge of corporate systems and databases: SSA LN, Data Warehouse, SQL, Snowflake, Access etc.

 Snap-on is an Equal Opportunity Employer, Minority/Female/Disabled/Veteran