Data Scientist 2/3, Storefront
$171,000–$242,000 year
On-sitePalo Alto, California, United States
Job Summary
Develop and refine machine learning models for near real-time personalization across the app and site, leveraging contextual signals to customize text for varied buyer intents. Assist in building the natural language search engine from 0 to 1 using Large Language Models for query understanding and semantic retrieval. Design algorithms for interactive app experiences to drive daily customer engagement while creating relevance ranking features and automated end-to-end modeling pipelines in Python and SQL. Deploy ML models into production, run rigorous live experiments, and establish robust real-time tracking frameworks by identifying data gaps and partnering with engineering teams. Act as a technical partner to product squads, translating business targets into actionable data science solutions and presenting complex analytical outcomes to leadership.
Required Qualifications
- 5+ years of industry experience as a data scientist
- 5+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale
- MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field
- Exceptional proficiency in Python and SQL
- Exceptional proficiency in Python and SQL, alongside deep production knowledge of standard data science and machine learning libraries
- Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines
- Proven experience working with Generative AI or LLM application workflows for tasks like text parsing or context-driven query understanding
- Strong model productionalization skills
- Strong model productionalization skills with a customer-first mindset
- Strong model productionalization skills with a customer-first mindset, allowing you to elegantly balance statistical accuracy against latency and engineering constraints in real-time environments
- Employment is contingent upon successful completion of a background check
Desired Qualifications
- Experience replacing or augmenting traditional NLP systems with LLMs for complex text parsing and language understanding
- Familiarity with Business Intelligence tools (e.g., Looker, Tableau) to build internal dashboards for model tracking and metrics visibility
- Experience building data product specifications alongside distributed engineering teams to streamline model evaluation
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