Data Scientist

Data Scientist

This job is no longer open

Data Scientist (Remote)

The Senior Data Scientist oversees the conceptual vision of data science initiatives, covering the range of data science applications at U-Haul, and guides the team in the execution of that vision.


  • Manage interactions, expectations, and connections with existing business units
  • Translates importance and outcomes of data science initiatives to higher levels   
  • Establish realistic team objectives, KPIs, and timelines for data science projects
  • Prioritize work based on expected value to make continued progress on initiatives 
  • Collaborate with and provide mentorship to other data scientists and data science analysts   
  • Design and implement data products (pipelines, visualizations, AI/ML models) that add value to U-Haul's business 
  • Interact with developers, business teams, and other stakeholders to determine requirements 
  • Conduct effective exploratory analysis (EDA)
  • Identify the best model for a given problem 
  • Work alongside data engineering to source and transform data 
  • Build ETL pipelines independently 
  • Build, tune, and deploy machine learning/AI models 
  • Communicate results to business leaders and technical audiences   
  • Maintain team documentation, organization, and resources to ensure stability and scalability of the team  

U-Haul Offers:

  • Full Medical coverage 

  • Prescription plans 

  • Dental & Vision Plans 

  • Registered Dietitian Program? 

  • Weight Watchers? 

  • Onsite medical clinic for you and your family 

  • Career stability 

  • Opportunities for advancement 

  • Valuable on-the-job training 

  • Tuition reimbursement program 

  • Free online courses for personal and professional development at U-Haul University® 

  • Business and travel insurance 

  • You Matter Employee Assistance Program 

  • Paid holidays, vacation, and sick days? 

  • Employee Stock Ownership Plan (ESOP) 

  • 401(k) Savings Plan 

  • Life insurance 

  • Critical Illness/Group Accident 

  • 24-hour physician available for kids 

  • Subsidized gym/ membership 

  • MetLaw Legal program 

  • MetLife auto and home insurance 

  • Mindset App Program 

  • Discounts on cell phone plans, hotels, and more 

  • LifeLock identity Theft 

  • Savvy consumer wellness programs- from health care tips to financial wellness 

  • Dave Ramsey’s SmartDollar Program 

  • U-Haul federal credit union 

  • Wellness Programs


  • Master’s degree or Ph.D. from an accredited college/university in an applicable field, with a minimum of 3 years of relevant experience 
  • History of increasing responsibility and/or a leadership role in data science 
  • Exposure to and familiarity with a variety of statistical and machine learning techniques including but not limited to Regression and Classification, Graph Data Science/Network Analysis, Computer Vision, Time Series Analysis and Forecasting, Geospatial Data/GIS, Recommender Engines 
  • Proven track record (academic or business) in one or more data science fields above preferred 
  • Demonstrated experience processing and analyzing structured and unstructured data 
  • Strong coding skills in SQL and Python 
  • Experience with graph databases (Neo4j) is highly desired 
  • Experience with model deployment/MLOps is helpful 
  • Experience in Databricks, AzureML, Kubernetes are pluses 


  • Good communicator, both written and oral
  • Comfortable with full stack data science: taking a project from idea to execution 
  • Deep understanding of statistics and experimental design 
  • Must be effective at coding in SQL and Python 
  • Effective communication and presentation skills, written and oral 
  • Familiarity with DevOps/Agile Scrum a plus 

U-Haul is an equal opportunity employer. All applications for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, provincial, state, or local law. Individual accommodations are available on requests for applicants taking part in all aspects of the selection process. Information obtained during this process will only be shared on a need to know basis.

This job is no longer open
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