Principal Data Scientist - Consumer Personalization & Generative AI

Posted:
10/14/2025, 1:36:17 AM

Location(s):
Boston, Massachusetts, United States ⋅ Miami, Florida, United States ⋅ Pennsylvania, United States ⋅ Washington, United States ⋅ New York, United States ⋅ San Francisco, California, United States ⋅ California, United States ⋅ New York, New York, United States ⋅ Massachusetts, United States ⋅ Seattle, Washington, United States ⋅ Philadelphia, Pennsylvania, United States ⋅ Florida, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Workplace Type:
Remote

Pay:
$122/hr or $253,760 total comp

Gopuff’s Data Science team powers the personalized search, browse and recommendation experiences that shape how customers discover daily goods. We are expanding our mission to include cutting-edge generative-AI capabilities. This role will lead the design and deployment of LLM-driven models that deeply understand customer needs and deliver personalized, timely experiences. You will partner with product managers, engineers and researchers to adapt pre-trained large language models (LLMs) to Gopuff’s unique business challenges, fine-tune models using LoRA/qLoRA, build retrieval-augmented generation (RAG) pipelines, and drive innovation from prototype through production.
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.