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 :
Generous stock option plan
Medical, dental and vision insurance
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.