Location: Remote

Employment Type: Full Time

Team: Data

What we do and why we do it

As the leading marketplace for single-family rental homes, our mission is to make real estate investing radically accessible, cost effective, and simple. We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it.

How it’s going (and growing)

With a talented team of 500+ Roofsters, our collaborative and can-do culture is what fuels our growth. We recently closed on our series E, raising nearly $400 million, and have offices in California, Texas, and New York as well as many remote opportunities. Our growth includes recent acquisitions of Great Jones (full-service property management) and Stessa (financial management software) to empower customers with a seamless way to acquire, manage, and track their investment properties on one platform.

Under our roof

We get a lot of attention for our innovation—like being on the Forbes Fintech 50 and Red Herring 100—but we’re most proud of being recognized as a Great Place to Work® (Check out our reviews!). We’re nice, get things done, and have fun. We champion professional growth and work-life balance. In fact, our values are B.A.D.A.S.S.

B e customer obsessed.

A ct like an owner, because you are one.

D on’t be afraid to break things in the pursuit of better.

A ll of us are empowered to do the right thing.

S tay curious and create what’s next. Fast.

S eriously. No jerks.

As a Senior Data Scientist you will develop models and write code that solves a diverse set of business problems. You will work closely with product and other business teams to solve challenges across the company in a high- visibility role. This is an excellent opportunity to join an established but small and quickly growing company working on a wide range of projects with talented data engineers, data analysts, and other data scientists in an integrated Technology organization.

What you will do:

• Build conventional statistical/econometric models for inference, and prediction focused machine learning systems that address:
• Buyer segmentation, propensity modeling, & marketing automation
• NLP and image recognition to extract signal from property listings
• Property classification and ranking
• Property recommendation, matching, and personalization
• Economic modeling of property valuations, capital expenses, repair, maintenance, and operational expenses like tenant churn
• Data mining for opportunity qualification
• Work with structured and unstructured datasets
• Write robust well-documented code, operating on a modern cloud stack (AWS and Azure)

What you bring with you:

• Masters or PhD in statistics, computer science, economics, physical or quantitative social science, or a similar quantitative/computational field
• 5+ years of industry experience (4+ for MA/MS) shipping advanced statistical/ML models
• Proficient in R and/or Python and their related data science ecosystems; experience with other languages/packages (e.g. Matlab, JMP, Stata, etc.) a plus.
• Fluency in the language (both words and equations) of statistics, econometrics, and machine learning, and a clear ability to translate technical points into everyday language for general audiences
• Expertise in a significant mix of the following estimation methodologies: OLS/GLS/MLE and regularization of same; time series and panel techniques; design of experiments; censored, truncated and discrete data methods; method of moments; nonparametric and semiparametric estimation; model diagnostics; machine learning modeling (SVM’s, neural nets, boosting, random forests, bagging, and CART); Bayesian estimation; geographic and spatial modeling; and, most importantly, a clear understanding of how to match the technique to the data and the business problem.
• Engineering skills: ability to write quality code that runs on servers.
• Ability to work independently, rapidly prototyping and testing new ideas
• Drive to solve problems, meet deadlines, and build whatever is necessary along the way
• Experience understanding the strengths and weaknesses of different modeling approaches and can effectively reason about when to apply different combinations and iterate
• Expert communication, facilitation, and collaboration skills to effectively present, explain, influence, and advise within cross-functional teams

#LI-Remote

#INDDS

For our regular full-time roles we offer a great benefits package!

Competitive compensation

Medical, Vision and Dental for you (95%) and your dependents (65%)

401k

Flexible time off and sick days

Supplemental bonus to support "work from home" office needs

Equity incentives to give you a stake in the Company’s future

We are an upbeat and collaborative work culture

Virtual company-sponsored outings

Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.