As a Senior Data Scientist, you'll develop models for optimizing delivery, collaborate across teams, and apply machine learning for business efficiency.
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 Senior 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.
You Will
- Own the end-to-end development and operation of deep learning–based ETA prediction systems—building features, training/testing models, running experiments, monitoring and explaining performance in production.
- 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.
You Have
- MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science).
- 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.
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, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
- This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
- Base Salary Range: $175,000 - $220,000
What We Offer
- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Mental Health Benefits
- Fitness Reimbursement Program
- 25% employee discount & FAM Membership
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
#LI-GOPUFF
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.
Top Skills
Python
SQL
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