Harbor Freight Tools Job - 49426547 | CareerArc
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Company: Harbor Freight Tools
Location: Calabasas, CA
Career Level: Internship
Industries: Retail, Wholesale, Apparel

Description

We seek a highly motivated and analytical Data Scientist Intern to join our Retail Operations Analytical Team. The candidate will work with our Data Scientist team on projects that involve creating ML models, interactive dashboards, and inference analysis.

Duties and Responsibilities

  • Collaborate with cross-functional analytical teams to solve the business problems.
  • Develop/Enhance data visualization in our BI ecosystem        
  • Partner with our Data Scientist in developing ML and AI models      
  • Analyze data sets for trends/segments and outliers to help drive operational efficiency and process predictability       

Scope
  • Staff supervision and development:  No
  • Decision making:  Provides data for decision support, Provides consultation or expert advice
  • Travel:  Up to 5%
  • Flex Designation:  Anywhere


Requirements

Education and Experience

Education Requirements
  • Bachelors' Degree in Business, Finance, Data Science, Math, Information Systems or a related field

Years of Experience
  • 2+ years analytics experience in retail or Technology
  • Proficient in Python Data science packages
  • Advanced SQL & data wrangling experience
  • Tableau/BI tools advanced proficiency.

Skills
  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • GCP/AWS/Azure knowledge
  • Skilled in Python/Pyspark/ML ecosystem
  • Excellent problem solving skills
  • Strong communication skills and self motivator

Physical Requirements
Corporate - Remote - 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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