Do you have a passion for solving impactful problems using data science?

Gopuff is building solutions to dramatically change the way people purchase their daily goods. We provide the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button.

Our business is built on a backbone of technology, which generates high-quality data from shopping to facilities management to order fulfillment.

As a Data Scientist on the Gopuff consumer science team, you’ll have the opportunity to work on a wide variety of high impact projects related to Search, Browse, and Sponsored Recommendations. You’ll have ownership from prototype to productionalization. You’ll refine our existing systems in retrieval, ranking and query understanding so that we can show the perfect products to enhance users’ discovery experience. You’ll make a huge impact on the future success of Gopuff.

You Will

Be innovative. Aim to improve consumer experience for sustainable growth
Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
Work closely with product and engineering team to develop and deploy solutions with cross-functional support
Build models that support real-time events and internal stakeholder decisions across the business
Present work to business and engineering leadership
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data solutions
Are committed to automation and productionalized solutions whenever possible

You Have

MS or PhD new grad in statistics, mathematics, computer science or related field
Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
Strong Desire to learn and be able to learn quick
Expert knowledge of statistical and machine learning techniques
Expect knowledge of Data Science libraries in a programming or scripting language
Proficient in Python + related ML libraries and frameworks (Ex: PyTorch)
Proficient in SQL and working with large datasets.
Excellent communication and presentation skills (to both technical and business audiences)
Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks) as a plus.
Experience about building ranking and recommendation models in production environments as a plus

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: $120,000 - $160,000

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.