About the Role

Project Franklin is a stealth-mode startup operating independently within Walmart's tech incubator, Store No 8. We are building technology in a fast-moving environment that has the potential to impact the lives of millions.

We are a scrappy and entrepreneurial team with access to the resources of the world's largest retailer. We’re building cutting edge technology from our lab in Long Island City, NY and our journey has just begun.

Do you have what we're looking for? Bring it on:

  • Ex-entrepreneurs, entrepreneurial spirit, self-starters who are driven
  • Thrives with ambiguity & pitches in anywhere
  • Plays well with others: low maintenance & fun to be around
  • Ability to be strategic, with the appreciation for the 100 tiny touchpoints
  • Excellent, often scrappy, problem-solving skills
  • Positive Energy (and Energy period)
  • Passion for delighting the customer

What You’ll Do

  • Join our founding team as the first Data Scientist who will play a crucial role in helping us build a consumer product rooted in data analysis
  • Conduct quantitative analysis across Walmart’s large internal data sets to extract information you can then use to predict future consumer behaviors
  • See beyond the numbers to inform product decisions
  • Partner with Business and Engineering teams to solve problems and identify trends and opportunities to improve business
  • Build product dashboards that help us monitor the efficiency of our products in improving our customer’s lives


  • 4+ years of experience doing quantitative analysis
  • BA/BS in Computer Science, Engineering, Math, Physics, Statistics, or other technical field. Advanced degree preferred.
  • Experience in SQL or other programming languages
  • Development experience in any scripting language (Python, PHP, etc.) preferred
  • Ability to synthesize results of analyses and communicate into actionable strategy
  • Experience manipulating data sets
  • Ability to initiate and complete projects with minimal guidance
  • Desire to work in a fast-paced environment and grow with us
Apply for this Job
* Required
File   X
File   X

Share this job: