Data Scientist, PhD New Graduate

Job description

Position Overview:

Are you passionate about advanced analytics and 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 e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 500+ cities within the US and expanding quickly.

Data Science at goPuff is really fun, we are super collaborative, really focused on business impact, and driving a better customer experience via machine learning solutions, modeling and causal inference. Our team is involved end-to-end on the delivery of those models: from deeply understanding our product and our users, to identifying opportunities to enhance the product with data driven solutions, to writing the model’s code and working with engineering on having that model used by different systems across our platform, to experimentally testing and evaluating the performance and impact of our models.

As a Data Scientist at goPuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization, predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. 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.


    • Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects
    • Deeply understand our users, our product, and our data to identify opportunities for machine learning, optimization and causal inference methods to deliver a better customer experience and make our business more efficient
    • Build data driven, robust and replicable data science models
    • Develop frameworks for evaluating and monitoring model performance
    • Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
    • Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure, and Google Cloud.
    • Drive adoption of data products and data science solutions into the product planning process with team leadership
    • Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
    • Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org


    • PhD in operations research, economics, statistics, computer science, or another quantitative field
    • Hands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
    • Coding in Python or similar programming language
    • Data querying skills in SQL
    • Excellent communication and presentation skills
    • Ability to explain technical concepts in simple terms to business stakeholders
    • Move fast, be a team player, always be learning and give back
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.

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.

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