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Senior Data Scientist

Reads like a ML Engineer role: putting models into production.

Boston, MA, United States, New York, NY, United States

Actively hiring, first seen by us 1 day ago
Pay
Pay not listedSimilar roles state $166K–$240K
Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
Must already have the right to work in the USRue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis

What you’ll work on

Full posting

Rue Gilt Groupe is hiring a Senior Data Scientist to build and ship the personalization systems behind Rue La La, Gilt, and ShopSimon.

Flash sale off-price is one of the hardest settings in e-commerce for recommendations.

  • Build ranking and recommendation models for boutiques, product pages, and the AI shopping assistant

  • Develop boutique sort, similar styles, complete-the-look, and real-time reranking

  • Build contextual bandits and adaptive strategies for how each member shops

  • Build production training and inference pipelines, batch and real-time, with monitoring

  • Design offline evaluations and online A/B tests, and turn results into decisions

From the employer’s posting
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.
Ranking and recommendation models that power product discovery across boutiques, product pages, and our AI shopping assistant
Boutique sort, similar styles, complete the look, and real-time reranking that blends member intent with merchandising goals
Contextual bandits and adaptive strategies that adjust the experience to how each member likes to shop
build the production training and inference pipelines, batch and real-time, with the monitoring and reliability to match
Design offline evaluation and online A/B tests, and turn results into clear decisions with Product and Merchandising

About Rue Gilt Groupe

We are a small, senior team that owns the product, the science, and the production systems.

In the employer’s words · Read in context

Apply at Rue Gilt Groupe

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 70.

At Rue Gilt Groupe, jobs usually come down by about day 16.

From 4,442 similar postings that came down, and 5 of Rue Gilt Groupe’s. Coming down is not always a hire.

Rue Gilt Groupe is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • GCP
  • MLflow
  • Spark
  • PyTorch
Where the posting names them
Our Stack: - Databricks, Python, SQL, Spark, PyTorch, GCP (Gemini Enterprise Platform), and AWS. About the AI & Data Science Team
- 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

Your next step

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Title of role: Senior Data Scientist
Location: New York or Boston; Hybrid (2 days in the office required) 
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 supporting our employees' success and well-being: 

  • Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. 
  • Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. 
  • Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. 
  • Community: Paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. 
  • Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. 

We encourage you to apply 

Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience.  We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates.  

Work Authorization 

Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future. Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. 

Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. 

The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

 

 

 

 

 

ABOUT US: 

Ready for the most memorable – and stylish – experience 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.

 

Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

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Location & working pattern

Boston, MA, United States, New York, NY, United States

Title of role: Senior Data Scientist Location: New York or Boston; Hybrid (2 days in the office required) Approved Salary Range: 145k- 150k About the Role:
More source context
- Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. - Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. - Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking.
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