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Company: Harbor Freight Tools
Location: Calabasas, CA
Career Level: Mid-Senior Level
Industries: Retail, Wholesale, Apparel

Description

The Sr. Data Scientist, Retail Ops leads the decision analytics, in AI/ML, predictive modeling initiatives for retail operations with the mission for business impact. A thought leader in the analytical decision space, the role is responsible for leading cross-functional teams of data scientist, data engineer and business stakeholders to deliver impactful data and analytical products to the Retail Operations organization.

Duties and Responsibilities

  • Complete ownership of modeling lifecycle from problem statement, modeling to implementation.  
  • Lead scoping sessions with business stakeholders and make recommendations to the business using analytics  
  • Partner with Business and Technology leaders inside and outside the department on strategic and operational initiatives and guide the organization on analytical upside and scaling             
  • Analytical Leader and point person for business and internal team in structuring analytical problems    
  • Lead and develop, AI/ML MVP and production products (Models, Decision tools) for our field executive personas.
  • Mentor & guide data scientist on best-practices, methodologies and modeling techniques.
  • Develop deep understanding of business problems and find optimal build/buy decision framework for problems          
  • Model Measurement and Business impact of analytical bets      
  • Influence and evangelize organization on analytical opportunities and AI industry trends.         
  • Own & manage multiple cross-functional projects often concurrently.          
  • Build complex Tableau BI dashboards and visualizations suited for business stakeholders  
  • Own the creation of optimal user experience and analytical utility of the data visualization ecosystem

Scope
  • Staff supervision and development:  No
  • Decision making: 
    • Supports and collaborates on policy development and resolves problems; provides data for decision support; provides consultation or expert advice; participates in planning business objectives
  • Travel:  Up to 5%
  • Flex Designation:  Anywhere


Requirements

Education and Experience

Education Requirements
  • Master's degree in computer science, Math, or Statistics a plus

Years of Experience
  • Minimum seven years' experience in a related position or field
    • Retail/ Business Intelligence experience a plus
    • Strong Technical skills in Python, Generative AI, SQL, & ML platforms.
    • GCP/Databricks or similar cloud data platform expertise must.
  • Tableau & BI Ecosystem

Skills
  • Demonstrated ability to develop complex models in AI/ML framework
  • Ability to deal with ambiguity with a creative and experimental mindset.
  • Strong ownership and influence ability in the overall lifecycle of model development and analytics
  • Ability to manage portfolio and priorities effectively across different store operations personas.
  • A customer-centric mindset eager to solve business problems for scale and impact.
  • An expert data scientist with strong communication skills.
  • Deep understanding of predictive models and AI/ML Retail specific methodologies
  • Mentor and educate data team members and business leaders.
  • Ability to work independently and with team members from different backgrounds & technical acumen
  • Excellent attention to detail and code management.
  • An expert in data visualization and business intelligence.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.


 
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