Full-Time Principal Data Scientist, Delivery Technology

Gopuff is hiring a remote Full-Time Principal Data Scientist, Delivery Technology. The career level for this job opening is Experienced and is accepting Philadelphia, PA or Aventura, FL or Remote (NYC, San Francisco, Boston) based applicants remotely. Read complete job description before applying.

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Gopuff

Job Title

Principal Data Scientist, Delivery Technology

Posted

Career Level

Full-Time

Career Level

Experienced

Locations Accepted

Philadelphia, PA or Aventura, FL or Remote (NYC, San Francisco, Boston)

Salary

YEAR $175000 - $250000

Job Details

Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.

Gopuff is a high-growth startup that is revolutionizing hyper-local instant e-commerce. We warehouse and deliver tens of thousands of products to your door super fast. As a Principal Data Scientist at Gopuff working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, as well as the delivery partner experience.

All of that, with a direct impact on the delivery experience that is so core to serving our customers’ immediate needs, means you’ll have the opportunity to make a huge impact on the future success of Gopuff.

We’re looking for a doer, problem solver, and thought-leader. This is a hybrid position based in Philadelphia, PA or Aventura, FL OR remote for those in approved hub hiring markets (NYC, San Francisco, Boston)

You Will:

  • Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems
  • Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient
  • Build data driven, robust and replicable data science models
  • Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
  • Serve as a tech lead on the Delivery Technology DS team
  • Provide mentorship to junior data scientists on the team

You Have:

  • 5+ years of industrial experiences in data science
  • MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or other quantitative field
  • Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions.
  • Expert in machine learning, statistics, and experimentation.
  • Proficient in Python, SQL, and source control management tools.
  • Excellent communication and presentation skills (to both technical and business audiences).
  • Effective, resilient, resourceful, and kind.
  • Experience in delivery tech
  • Experience in dispatch optimization

Compensation: Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role. Remote US Range: $175,000 - $250,000

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Principal Data Scientist, Delivery Technology at Gopuff is 8th of February 2025 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ Philadelphia, PA or Aventura, FL or Remote (NYC, San Francisco, Boston) ] applicants. .

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