Senior Data Scientist, Tilt
$155-185k
Offers Equity
More information about location
Credit health & financial management app
Be an early applicant
Credit health & financial management app
201-500 employees
Be an early applicant
$155-185k
Offers Equity
More information about location
201-500 employees
Company mission
To expand access to fair credit to give anyone in the world the opportunity to improve their financial security and mobility.
Role
Who you are
- The ideal candidate is passionate about using data and models to drive business growth and help customers improve their financial situations
- For this role, we’re looking for an experienced data scientist to work within our talented DS team for Tilt Cash Advance and Thrive Line of Credit products
- The right person for this role is someone who shines while solving complex problems and is comfortable with a wide variety of technical tools
- BS degree in engineering, computer science, finance or mathematics
- 4+ years industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling
- Deep understanding of statistics and machine learning techniques, including regression, classification, clustering and optimization Experience building predictive models from scratch
- Strong programming skills in Python with intermediate to advanced knowledge of SQL
- Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc
- Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch) is preferred though not required
- Comfort working with a variety of cross functional partners in tech, product, credit, and business
- Exceptionally strong problem solving and communication with the ability to both get in the weeds and communicate to an executive audience
What the job involves
- Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions
- This individual will help create and improve credit risk models, build ML based paycheck detection algorithms to help the business decrease loss rates and increase approval rates
- Grow user base and increase retention through machine learning and analytics
- Build machine learning models with large scale data sets to address business priorities
- Design and influence strategies on underwriting, marketing, fraud and customer experience
- Work closely with our engineering team as you implement models in production
- Collaborate effectively with operations and product to ensure the work fits into the broader strategy and business context
- Develop data standards and analytics pipelines to facilitate current and future analysis
Our take
An individual’s credit score greatly influences their life, affecting their ability to rent, receive loans, buy a house, and access affordable interest rates. But you have to have credit to build credit, leaving a lot of people in a catch-22 situation. Tilt (formerly Empower Financial) is a mobile-only app that makes credit more inclusive and accessible, helping customers achieve their credit health goals regardless of their credit history (or lack thereof).
Though other FinTech companies such as Mint or Personal Capital also offer impressive financial tracking for their customers, Tilt’s comprehensive set of personal finance features including cash advance and automatic savings offerings make it a better choice for people who want to use a single app to manage their finances.
By empowering people to take control of their money through its range of financial services, Tilt is working to break the cycle of paycheck-to-paycheck living. Backed by Blisce, Defy Ventures and Quiet Capital, the company has been significantly growing its revenue in recent years and was recognized in the 2022 Inc. 5000 list of the fastest-growing companies in the US.
Freddie
Company Specialist at Welcome to the Jungle
Insights
45% employee growth in 12 months
Trustpilot (1.9)
Company
Funding (last 2 of 3 rounds)
Sep 2022
$75m
LATE VC
Mar 2020
$20m
SERIES A
Total funding: $99.5m
Company benefits
- Virtual-first teamwork: Great work happens anywhere. We're collaborating across 14 countries, 12 time zones
- Full health coverage: Find flexible plans at every premium level and substantial subsidies that stand up to global standards
Company HQ
Mission District, San Francisco, CA
Leadership
Warren Hogarth
(Co-Founder & CEO)Previous a Partner at Sequoia Capital and is an Early Investor/Company Builder for multiple companies.
Justin Ammerlaan
(Co-Founder & CTO)Previously founded Ammerlaan Initiatives and Co-Founded White Room Trading. Also worked as a Senior Software Engineer at SDM and a Technical Architect at Fujitsu.
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