Data Scientist, Underwriting

Sonder

Dallas, TX, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/07/2021
  • Website: sonder.com
  • Company Address: 101 15th St, San Francisco, CA, 94103

About Sonder

Sonder brings hotel hospitality to the sharing economy. Rent one-of-a-kind Sonders in unique neighborhoods and find the same consistent standard of quality inside: crisp white linens, high-end kitchen and bath essentials, and 24/7 concierge service.

Job Description

With thousands of beautiful spaces built for travel and living, Sonder is transforming the future of hospitality. Each Sonder is purposefully selected, designed and maintained - customized to reflect the vibe of its neighborhood. Whether your stay is two days, two months or two years, in a studio or a six-bedroom, Sonder ensures a unique, yet consistent experience. And with 24/7 contactless service, professional cleanings that exceed CDC recommendations, and over 200 other quality standards, we’re taking stay further for guests all around the world.

Sonder started in 2014, and now has thousands of spaces in cities across the globe.

The Underwriting Data Science team is uniquely positioned to drive Sonder’s success and profitability. The team creates and implements data-driven approaches to predict future revenue and costs for all Sonder real estate growth opportunities.

AT SONDER YOU WILL:

  • Drive Sonder’s growth by building tools, data assets, and analyses that drive both accuracy and scalability for revenue forecasting and risk management
  • Develop differentiated data-driven forecasting models that leverage large-scale geo-spatial, real estate, and hospitality data
  • Utilize data engineering and data visualization tools to empower our investment analysis teams and drives objectivity and repeatability
  • Develop rigorous feedback loops that allow us to test for accuracy of our forecasting models
  • Be a thought leader on how data and data science can be used for forecasting and risk management in the context of hospitality real estate. For example, 
    • How do we define location attributes that drive performance for our units and buildings
    • How do we identify and utilize performance data for our competition 
    • How do we capture long-term demand and supply dynamics in a market / neighborhood 
    • How do we leverage our own historical data effectively to predict performance for prospective units and buildings
  • Partner with Real Estate, Marketplace Product / Engineering, and Analytics and to implement and operationalize forecasting and risk management solutions 
  • Partner with other functions such as Revenue and FP&A to define robust forecasting techniques
  • Contribute to forecasting automation roadmap and report progress to Sonder’s executive team

WHAT WE LOOK FOR:

  • Bachelor Degree in Economics/Econometrics, Quantitative Finance, Computer Science, Math, Engineering, or related quantitative field.
  • Experience working with Product and Engineering teams at high growth companies to solve problems, identify trends and opportunities, productionize recommendations
  • Prior experience in revenue forecasting is a big bonus
  • 3+ years experience in a Data Science or Analytics role 
  • 3+ years of experience with SQL and Python
  • Great communication skills – being able to explain your work and the impact on the business to all types of business partners
  • High-energy self-starter with a passion for data, attention to detail, and a positive attitude

We also have great benefits to make your life easier so you can focus on what you're best at:

  • Competitive salary
  • Generous stock option plan
  • Medical, dental and vision insurance
  • Unlimited vacation
  • Annual free credits and discounts to stay in Sonders
  • A company with a huge vision, a dynamic work environment, and a team of smart, ambitious and fun to work-with colleagues!

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status or other protected classes

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.