About Us:

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, accessories and home decor from 700+ 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 influential people in the world and as one of People magazine’s “Women Changing the World.”

About the Team: 

Data is core to our growing business and has been ingrained in the company's DNA since its founding. The Operations Analytics team arms our warehouse, transportation, and customer service managers with data to measure performance and insights to drive continuous improvements. We work on unique problems at the intersection of fashion, technology, and logistics, where solutions often require novel approaches that push the boundaries of data science. This is where you come in!

About the Job:

We are looking for a seasoned data scientist to join the Operations Analytics Team to build automated forecasting algorithms that provide the foundation for operational planning at RTR.  You will be responsible for designing, developing and maintaining models and tools that deliver accurate, explainable forecasts.  You will apply your expertise in data analytics, machine learning and statistical algorithms to bring the current forecast process to the next level.  You will develop partnerships across Finance, Planning, Revenue, and Operations, synthesizing business inputs and signals to build the forecast foundation that enables efficient operational planning.

What You’ll Do:

  • Maintain current forecast tool: Own fulfillment forecasting tools end-to-end
    • Monitor forecast accuracy metrics and explain variances
    • Conduct analysis to understand growth drivers and volume patterns
    • Drive regular forecasting algorithm improvements 
  • Design and build the next generation forecast algorithms: You will work with cross-functional teams of data scientists, product managers and business stakeholders to establish the vision for the next generation of forecasting tools/products at RTR. You will create the design that achieves this vision and build the software from prototype to production. You will own the whole life cycle of the forecast software from conception to production. 
  • Support strategic initiatives that depend on an accurate forecast: provide support on short-term projects related to forecasting and planning throughout the operation.

About You:

  • You are an expert on time series forecasting. You are familiar with both classic and machine learning based forecasting approaches. You are intimately familiar with popular forecasting tools on the market and understand the strengths and weaknesses of each.  Bonus points if you are a contributor to an open source forecast package.
  • You have 5+ years of experience building forecasts, ideally for supply chain, warehouse operations, call center operations, or other related topics in eCommerce
  • You are able to execute across the entire life cycle of an advanced analytics project: data collection and wrangling, abstraction of business problems to tractable mathematical models, delivery of recommendations, implementation of business changes, and performance measurement.
  • You are an experienced software developer implementing data solutions in Python.
  • You are an expert in SQL; you can confidently perform your own data munging and build your own data pipelines.
  • You have the business acumen required to spot and prioritize opportunities that will move the needle.
  • You have an owner’s mindset, a bias to action and the ability to work with minimal supervision in a rapidly changing environment, under tight project timelines.
  • You have excellent communication skills (verbal and written); you can effectively suit your communication style for your audience to earn trust and influence at all levels.

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!
  • Hybrid Work - when our corporate employees return to the office post COVID they will have the option to work remotely 2-3 days a week, in accordance with Company policies. 

COVID-19 VACCINE REQUIREMENT:

RTR is requiring all US corporate employees to be fully vaccinated for COVID-19 in order to work in person, unless an employee requires a reasonable accommodation for medical or religious reasons.  If you believe that you may require an accommodation, please apply for any roles that interest you and if hired, you will receive information on how to request a reasonable accommodation after your start date. RTR will evaluate all such requests in accordance with Company policy and applicable law.   

 

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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Demographic Questions US

Rent the Runway is committed to ensuring that we attract diverse talent and strengthen our culture of diversity and inclusion.  As an equal opportunity employer, our employment decisions are based on objective qualifications, experience, and ability.  As a result, individuals seeking employment at Rent the Runway are considered without regards to race, color, religion, national origin, age, sex or gender, marital status, national origin or ancestry, disability, veteran status, gender identity or expression, sexual orientation, pregnancy, veteran status, status as a victim of domestic violence or sex offense, reproductive health decision, or any other characteristic protected by applicable law. 

We are asking all applicants to provide the following information in order to help us comply with federal and state Equal Employment Opportunity record keeping, reporting, and other legal requirements.  It will also assist us in measuring our progress against our ongoing D&I initiatives. 

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

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