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Rent the Runway
Galway, NY | Full Time
$109k-134k (estimate)
2 Weeks Ago
Data Scientist III
$109k-134k (estimate)
Full Time | Consumer Services 2 Weeks Ago
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Rent the Runway is Hiring a Data Scientist III Near Galway, NY

About Rent the Runway 

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewellery, handbags, activewear, ski wear, home goods and kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. 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 four times, while Hyman herself has been named to the “TIME 100: Most Influential People in the World" and as one of People Magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019. Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

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, Digital Merch, 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:

Inventory is the largest asset on Rent the Runway’s balance sheet and among our most important competitive differentiators. We collect and codify a tremendous amount of information on the inventory we buy and how our customers use it. We are looking for a Data Scientist on our Inventory Analytics team to put this data to use, helping us bring more science to the art of fashion. In this role, you will partner with planners, buyers, and site merchandisers on the fashion team to bring analytical frameworks and statistical models to elusive inventory problems, such as inventory network balancing, demand forecasting, pricing, and much more. Our unique business model - inclusive of subscription, rental, and resale - provides for a steady stream of novel problems. You will identify clever adaptations of solutions from other industries and flex your creative muscles to drive serious business impact!

Responsibilities: 

  • Identify new opportunities to leverage data science (in areas such as pricing, demand forecasting, inventory longevity, and profit modelling) that improve buying and operational decisions
  • 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
  • Contribute to our inventory data model, creating new reusable tables with built-in data validations and extensible architecture
  • 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 in a data analytics and/or data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce, supply chain, finance, or pricing is a plus)
  • Hands-on experience developing statistical models in Python, our go-to language
  • High proficiency in using relational databases and writing queries in SQL
  • 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 a 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 happiness and 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:

  • Generous Paid Time Off including annual leave, 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.
  • Competitive Stakeholder Pension - taking care of your future. 
  • Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered. 
  • Company wide events and outings - our team spirit is no joke - we know how to have fun!
  • Hybrid Work - This is a hybrid role based in our Galway, Ireland office. Employees have to option to work remotely 2-3 days per week.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, and membership of the Traveller community.

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Job Summary

JOB TYPE

Full Time

INDUSTRY

Consumer Services

SALARY

$109k-134k (estimate)

POST DATE

04/14/2024

EXPIRATION DATE

06/30/2024

WEBSITE

renttherunway.com

HEADQUARTERS

NEW YORK, NY

SIZE

500 - 1,000

FOUNDED

2009

CEO

SHAILAH EDMONDS

REVENUE

$200M - $500M

INDUSTRY

Consumer Services

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About Rent the Runway

Rent the Runway is transforming the way modern women get dressed and disrupting the $2.4 trillion fashion industry by pioneering dynamic ownership and enabling women to rent, subscribe to and purchase secondhand clothing. Founded in 2009 with a vision to build the worlds first living closet, RTR believes that women everywhere will soon have a subscription to fashion. By creating a new model of dynamic ownership rooted in sustainability, RTR has made apparel rental an indispensable utility while also powering women to feel their best every day. RTR offers apparel, accessories and home decor fro...m over 700 designer partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hymans leadership, Rent the Runway has been named to CNBCs Disruptor 50 five times in ten years, and has been placed on Fast Companys Most Innovative Companies list multiple times. More
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