Sr. Data Scientist

The posting, as RUE GILT GROUPE wrote it

Title of role: Senior Data Scientist
Approved Salary Range: 145k- 150k

About the Role

Rue Gilt Groupe is hiring a Senior Data Scientist to build and ship the personalization systems behind Rue La La, Gilt, and ShopSimon. You will own products end to end, not just the models behind them: from problem framing and success metrics through feature engineering, training, real-time serving, and monitoring, and see your work reach 50M+ members every day.

Flash sale off-price is one of the hardest settings in e-commerce for recommendations. Inventory is limited and short-lived, new products and boutiques launch daily, and cold start is the norm, not the edge case. If that sounds like a fun problem, we would like to talk.

Key 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

Experience and Background Needed

• 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

Our Stack

• Databricks, Python, SQL, Spark, PyTorch, GCP (Gemini Enterprise Platform), and AWS.

About the AI & Data Science Team

We are a small, senior team that owns the product, the science, and the production systems. There is no handoff between deciding what to build, building the model, and shipping it, so you carry your work from idea to launch. You will have the freedom to try new techniques, the data to test them, and a direct line from your work to member experience and revenue.

What Our Team Offers

Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to suppor
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of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company.

Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate! World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it. Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake.

And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work? It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand.

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