Senior Data Scientist — Personalization at Scale (Hybrid)

ruelala

Boston (MA)

Hybrid

USD 145,000 - 150,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Dental coverage
Vision coverage
Flexible remote/hybrid work options
Volunteer opportunities
DEI celebrations

Job summary

Rue Gilt Groupe in New York or Boston is seeking a Senior Data Scientist to build and ship personalization systems powering Rue La La, Gilt, and ShopSimon. You will own products end to end—from problem framing and metrics to feature engineering, training, real-time serving, and monitoring—for 50M+ members daily.

The role emphasizes experimentation, production ML, and GenAI use where it helps, with a small senior team and cross-functional partners across engineering, product, and merchandising.

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
Reinforcement learning
Cold-start techniques
Embeddings
Two-tower models
Vector search
Databricks MLflow
Unity Catalog
Model Serving
Production LLM
RAG
E-commerce experience
Data analysis and modeling

Tools

Databricks
Python
SQL
Spark
PyTorch
GCP Gemini Enterprise Platform
AWS

Job description

Rue Gilt Groupe in New York or Boston is seeking a Senior Data Scientist to build and ship personalization systems powering Rue La La, Gilt, and ShopSimon. You will own products end to end—from problem framing and metrics to feature engineering, training, real-time serving, and monitoring—for 50M+ members daily.

The role emphasizes experimentation, production ML, and GenAI use where it helps, with a small senior team and cross-functional partners across engineering, product, and merchandising.

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