Data Scientist

Job Description

Kiavi, formerly known as LendingHome, is one of the largest lenders to real estate investors in the United States. With Kiavi’s technology platform and innovative financing solutions, real estate investors are empowered to make informed decisions, close deals faster, and realize the full potential of their real estate investment strategies.

The Team

Founded in 2013, Kiavi is committed to helping customers revitalize approximately $25 trillion worth of aged U.S. housing stock and provide move-in ready homes and rental housing for millions of Americans across the country. We have funded $7.8 billion dollars worth of loans across about 35,000+ projects, becoming one of the nation's largest bridge loan lenders.

Combining our technology and industry expertise, Kiavi has grown to a team of over 400 and has won many awards over the years including Forbes Fintech 50, Finovate Awards: Best Digital Mortgage Platform, Fast Company’s Most Innovative Companies, and many more .

Loans funded: More than $7.8 billion

Geography: Lends in 27 states plus Washington, D.C., which account for more than 80% of the nation’s real estate market

Homes financed: About 35,000

Principal and interest returned to investors: More than $5.18 billion

Employees: Over 400 employees

This position can be based anywhere in the United States—remote or in-office. Our hybrid distributed workforce philosophy allows us to find the best talent in the country and build diverse teams, while allowing our colleagues to work from the location that works best for them. For those who prefer to work in-office, we have locations in San Francisco and Pittsburgh. We also plan to use these spaces to bring together teammates to drive creativity and innovation.

The Role:

Kiavi is seeking a highly analytical and innovative Data Scientist to join our Data team. Data drives every area of LendingHome including marketing, sales, operations, and credit, and you will be collaborating closely with all of these groups to tackle the highest priority strategic questions and to enable excellent, robust data-driven decision making.

Responsibilities:

• Define, create, and improve metrics and dashboards that precisely and accurately measure the pulse of the business
• Proactively initiate in-depth, rigorous analysis to derive meaningful insights the business can clearly act upon
• Drive improvements in business outcomes by testing new and different strategies through systematic planning and execution of experiments
• Continually explore and iterate statistical models and features to advance our understanding of key underlying business drivers
• Build production grade machine learning pipelines and data products that solve critical, complex problems and deliver business value
• Identify, research, and analyze new data sources that complement and enrich the quality of the data platform
• Support ad hoc analysis requests

Qualifications:

• A graduate degree in Computer Science, Statistics, Math, or related quantitative discipline
• Excellent grasp of fundamentals in statistics and probability
• Expertise in SQL and proven comfort and an intellectual curiosity for working with large sets of data
• Proficiency in coding and software engineering concepts. Fluency in Python/R preferred
• Experience with basic classes of machine learning techniques and algorithms (e.g. regression, classification, boosting, clustering, time series, NLP)
• Ability to partner, collaborate, and communicate well with a diverse set of colleagues, both technical and non-technical, at all levels
• A resourceful and pragmatic approach to problem solving and recognition that the best solutions are sometimes the simplest
• Experience in Hadoop/Spark or other distributed parallel computing paradigms is a plus
• Ability to transform technical analysis into easily digestible visualization is a plus

Benefits and Perks

• Product Ownership : All employees think like an owner because all employees own equity in the company and play a critical role in making our business great.
• Health Insurance : Our medical, dental, and vision plans are completely free for employee-only coverage, and the company pays 80% of the total premium for dependents.
• Whole-Person Wellness : Anyone can schedule no-cost unlimited virtual therapy sessions, use a monthly subsidy for fitness facilities, and access reimbursements for fertility services.
• Retirement Savings . Employees who participate in our “no fee” 401(k) receive an immediately-vested
• employer match on 100% of contributions up to 3% of compensation.
• Career Growth : We foster an environment that encourages opportunities to use your voice, do better for our customers and each other, and support your career journey.
• Flexible Time Off : With no cap on the number of days of PTO each year, employees are encouraged to enjoy a well-rounded lifestyle with work, travel, and family.
• Paid Leaves : You’re immediately eligible for up to 12 weeks of paid leave each year to bond with a new child (mothers & fathers) and up to 8 weeks for medical or caregiver leave so you come back ready to deliver high-impact results.
• Remote-First : We win together while still being fully remote, and each employee receives a stipend for
• their home office setup and a monthly allowance to help with the cost of internet/phone.

Kiavi in the News:

Forbes: The Future Of Real Estate: Fintech 50 2019 and Real Estate on a Threshold of a “Moneyball” Moment

HousingWire: 2019 HW Tech100 Winner: LendingHome

Pittsburgh Business Times: Voted a “ 2019 Best Places to Work ” and won first runner-up in large company category

Mortgage Professional America: LendingHome surpasses $5 billion in loans in five years

Pittsburgh Business Times: San Francisco fintech aggressively expands, looks to hire in Pittsburgh

Curbed: How Wall Street, Silicon Valley Institutionalized Home Flipping