Staff Data Scientist

At Apartment List, we’re on a mission to find every renter a home they love at the value they deserve. As the fastest-growing online rental marketplace, our platform takes the time to understand renters’ preferences and seamlessly finds their perfect match while aligning incentives with our properties on-site. To date, we’ve helped nearly 1 million families find a home they love, and we’re just getting started. Join us!

Apartment List is looking for a Staff Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.

Here’s what you’ll do as part of the team:

• Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
• Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
• Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
• Mentor and develop Data Scientists to grow their soft and hard skills
• Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
• Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization

Here are the skills and experience you’ll need to be successful:

• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
• Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
• Comfort and experience with communicating and collaborating with cross-functional audiences
• Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
• Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
• Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
• A hunger to dig into uncharted territory and make a huge impact

And here is what’s in it for you:

• An exceptional team: our hiring bar is absurdly high and your colleagues are talented, motivated, self- starters
• An incredible opportunity to build out a critical function
• A strong voice within R&D to influence our product and company strategy
• A virtual-first culture that allows you to work from anywhere

Here's what's in it for you: 

• 100% Remote: Work from wherever you want (within the US)
• Competitive Compensation: Including annual salary, pre-IPO stock options, and other financial compensation (if applicable)
• Medical, Dental, and Vision Coverage: 100% of premiums covered for you AND all of your dependents
• Unlimited Flexible Time Off: Unlimited FTO in addition to 11 company holidays per year, quarterly “recharge” days, and a week-long holiday break
• Home Office Reimbursement: To cover home office furniture and supplies, monthly home internet, and monthly cell phone (if applicable)
• Health & Wellness Reimbursement: To cover monthly gym membership or other qualifying expenses
• Parental Support: Generous parental and family leave, and employer sponsored stipends towards family forming services
• 401k Plan: To support you in your individual retirement goals
• Team Events: Frequent team-building events, fun team off-sites, and an annual company ski trip
• Commitment: To prioritize Diversity, Equity, and Inclusion within our workplace and to stay true to our values and mission
• Mentorship and Training: To get you onboard quickly, learn new professional skills, and invest in your career development
• Encouragement and Empowerment: To explore and adopt new technologies, participate in a broad array of initiatives, and drive meaningful decisions and outcomes

At Apartment List we believe that everyone deserves a home they love AND a career they love. We strive to build a diverse team that is a reflection of the people we serve; this is made possible through our commitment to fostering a culture of diversity, inclusion, equity, and connectedness. 

As a proud equal opportunity employer, we celebrate the collection of individual differences, life experiences, ideas, perspectives, knowledge, and talent. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status.

This is a fully remote position within the US. #LI-Remote