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Data Scientist II

Brooklyn, NY (Rent the Runway HQ)

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 our business and has been ingrained in the company's DNA since its founding. The Data Science team extracts meaning from RTR’s many rich customer interactions and partners with decision-makers across Product, Finance, Inventory and Ops to turn insights into actions. The Data Science team manages data models, defines and analyzes performance metrics, builds reporting, runs A/B experiments, and develops predictive models.

About the Role:

As a Data Scientist at RTR, you will collaborate closely with cross-functional partners to address complex challenges and shape the company roadmap. Working closely with our Product Team, you will support both acquisition and retention efforts across all channels and platforms including online and offline, paid and organic, on-site and in-app. RTR’s diverse business model, spanning subscription, rental, and resale, presents opportunities for creative problem-solving and impactful contributions to the company's success.

You will own projects end to end, from framing which questions and products to tackle, through collecting information from our complex data ecosystem, transforming that data into insights that can impact our business, and integrating the product into our network of services in collaboration with our engineering team.

Responsibilities: 

  • Identify new opportunities to leverage data science that improve RTR’s acquisition and retention strategy
  • Work with and develop ML models, perform A/B testing, and apply quantitative analysis and data mining techniques
  • Determine and calculate KPIs to objectively evaluate inventory health and performance
  • Create reusable datasets with appropriate architecture using our complex data pipeline
  • Partner with the business and engineering to ensure that we are collecting appropriate data and are utilizing the appropriate frameworks to analyze our performance
  • Build data tools and dashboards that empower various stakeholders throughout the organization

Qualifications:

  • Bachelor’s degree in Computer Science, Physics, Mathematics, Statistics, Economics, Technology, Business or related fields; advanced degrees and/or specializations a plus
  • 3-5+ years experience with emphasis on statistical analysis (designing and conducting A/B experiments, performing quantitative analyses, testing scientific hypotheses, etc.)
  • Experience coding in statistical or scripting computer languages, particularly in Python, our go-to language
  • High proficiency using relational databases and writing queries in SQL
  • Experience with consumer, subscription, and/or eCommerce data is highly preferred
  • Experience with business intelligence tools such as Tableau or Looker
  • Track record of building strong relationships with cross-functional partners
  • Ability to communicate effectively with wide-range of audiences
  • Ability to quickly learn new tools and data analysis methods
  • Passion for data and its fundamental ability to create value
  • Extremely curious and excited to dive into complex problems

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.

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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. 

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