Data Scientist II at Rent the Runway

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Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

125000.0

Posted On

08 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Preparation, Model Training, Model Validation, Model Deployment, Model Monitoring, Recommendation Systems, Personalization, SQL, Python, Scikit-learn, Pandas, NumPy, XGBoost, PyTorch, GCP, Vertex AI

Industry

Retail

Description

About Rent the Runway Rent the Runway (RTR) is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most About the Team: Data is core to Rent the Runway’s business and has been ingrained in our DNA since the company’s founding. The Data Science team extracts meaning from RTR’s many rich customer interactions and partners with decision-makers across Product, Inventory, and Operations to turn insights into action. The team defines and analyzes performance metrics, runs A/B experiments, and develops and deploys machine learning models that power customer experiences and drive operational efficiency. About the Role: As a Data Scientist at RTR, you will design, build, and deploy the machine learning models that shape RTR’s customer experience and business strategy. You’ll collaborate closely with cross-functional partners in Product, Inventory, and Engineering to solve complex challenges in personalization, recommendation, search relevance, and inventory optimization. You’ll own projects end-to-end - from data exploration and model development to production deployment on Vertex AI - and play a key role in supporting A/B testing and experimentation for ML features and broader product initiatives. Responsibilities: Design, develop, and deploy scalable ML models in areas like recommendation, personalization, and inventory optimization. Own the full ML lifecycle: data preparation, model training, validation, deployment, and monitoring. Build and maintain robust feature pipelines and model monitoring systems. Collaborate with Product teams to design, implement, and analyze A/B tests for both ML-driven and standard product features. Partner with cross-functional teams to measure and communicate business impact. Define and track key performance metrics for model accuracy, reliability, and relevance. Qualifications: Bachelor’s degree in a quantitative field like Computer Science, Statistics, Mathematics, or Engineering; an advanced degree (MS or PhD) is a strong plus. 3-5+ years of hands-on experience building and deploying machine learning models in production. Demonstrated experience in areas like recommendation systems, personalization, or ranking models. Strong proficiency in Python and core ML libraries (Scikit-learn, Pandas, NumPy, XGBoost) as well as deep learning frameworks (PyTorch). High proficiency using relational databases and writing queries in SQL. Hands-on experience productionizing models on GCP, with specific expertise in Vertex AI, is strongly preferred. Track record of building strong relationships with cross-functional partners. Ability to communicate effectively with wide-range of audiences. Benefits: At Rent the Runway, we’re committed to the wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to: Paid Time Off including vacation, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family. Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention. Paid Sabbatical after 5 years of continuous service - Unplug, recharge, and have some fun! Exclusive employee subscription and rental discounts - to ensure you experience the magic of renting the runway (and give us valued feedback!). Comprehensive health, vision, dental, FSA and dependent care from day 1 of employment - Your health comes first and we’ve got you covered. 401k match - an investment in your future. Company wide events and outings - our team spirit is no joke - we know how to have fun! Office centric work - our corporate employees and technical leaders have the option to work remotely on Fridays, in accordance with Company policies. Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee based on any legally-recognized basis, including, but not limited to: race, color, religion, sex (including pregnancy, lactation, childbirth or related medical conditions), sexual orientation, gender identity, age (40 and over), national origin or ancestry, citizenship status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed service member status or any other status protected by federal, state or local law. _________ The anticipated base salary for this position is $100 to $125K. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held. #LI-EM1 By submitting your application below, you agree that you have read and acknowledge Rent the Runway's Candidate Privacy Policy, found here.

Responsibilities

Design, develop, and deploy scalable machine learning models in areas like recommendation and inventory optimization. Collaborate with cross-functional teams to measure and communicate business impact.