Staff Data Scientist, Empower Finance

Salary not provided

+ Equity

SQL

Python

Tensorflow

Scikit-Learn

PyTorch

Keras

Senior and Expert level

Remote from US

More information about location

Credit health & financial management app

Open for applications

Credit health & financial management app

101-200 employees

FintechB2CCredit ScoringBankingPersonal financeMobileD2C

Open for applications

Salary not provided

+ Equity

SQL

Python

Tensorflow

Scikit-Learn

PyTorch

Keras

Senior and Expert level

Remote from US

More information about location

101-200 employees

FintechB2CCredit ScoringBankingPersonal financeMobileD2C

Company mission

To expand access to fair credit to give anyone in the world the opportunity to improve their financial security and mobility.

Job

Company

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 a seasoned data scientist to work within our talented DS team for Empower 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
6+ 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 own creating and improving credit risk models, building 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. Empower 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, Empower’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, Empower 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

Top investors

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

Generous equity package
Full healthcare benefits
Unlimited personal vacation
Technology expense reimbursement
Work from anywhere

Company HQ

Mission District, San Francisco, CA

Leadership

Warren Hogarth

(CEO)

Previous Partner at Sequoia Capital and is an Early Investor/Company Builder for multiple companies.

Justin Ammerlaan

(CTO)

Founder of Ammerlaan Initiatives and Co-Founder of White Room Trading. Previously worked as a Senior Software Engineer at SDM and a Technical Architect at Fujitsu.

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