Senior Data Scientist, Personalization at Scale

BranchFactor; Boston (MA); Hybrid; USD 145,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Flexible time off

Hybrid work options

Volunteer opportunities

DEI celebrations

Competitive compensation

Job summary

Rue Gilt Groupe in New York or Boston is seeking a Senior Data Scientist to own end-to-end personalization systems for Rue La La, Gilt, and Shop Simon. You’ll lead problem framing, feature engineering, training, real-time serving, and monitoring for 50M+ members daily.

You will tackle hard e-commerce ranking challenges, build production pipelines, and drive experiments with Product and Merchandising, including exploration of GenAI where it adds value.

Qualifications

• Contextual bandits, reinforcement learning, or cold-start techniques.
• Embeddings, two-tower or sequence models, and vector search.
• Databricks (MLflow, Unity Catalog, Model Serving) or GCP (Gemini Enterprise Platform).
• Production LLM for inference, RAG, evaluation, or agent tool calling.
• E-commerce, retail, or fashion experience.
• Deriving insights from complex data through analysis and modeling.

Responsibilities

• Personalization at scale: Ranking and recommendation models that power product discovery across boutiques, product pages, and our AI shopping assistant.
• Core algorithms: Boutique sort, similar styles, complete the look, and real-time reranking that blends member intent with merchandising goals.
• Exploration and learning: Contextual bandits and adaptive strategies that adjust the experience to how each member likes to shop.
• Product and model ownership: Shape the roadmap and success metrics with Product, then build the production training and inference pipelines, batch and real-time, with the monitoring and reliability to match.
• Experimentation: Design offline evaluation and online A/B tests, and turn results into clear decisions with Product and Merchandising.
• GenAI where it helps: Use LLMs and embeddings where they improve recommendations, and expose models as tools the shopping assistant can call.
• Cross-functional impact: Partner with engineering, product, marketing, and merchandising teams, and present your work to leadership.

Skills

Contextual bandits

Embeddings

Databricks

Production LLM

E-commerce experience

Insights from data

Two-tower / sequence models

Vector search

GCP

AWS

Tools

Databricks

Python

SQL

Spark

PyTorch

GCP

AWS

Job description

Rue Gilt Groupe in New York or Boston is seeking a Senior Data Scientist to own end-to-end personalization systems for Rue La La, Gilt, and Shop Simon. You’ll lead problem framing, feature engineering, training, real-time serving, and monitoring for 50M+ members daily.

You will tackle hard e-commerce ranking challenges, build production pipelines, and drive experiments with Product and Merchandising, including exploration of GenAI where it adds value.