Path Forward Returnship - Senior Data Scientist

Location: San Francisco, CA (Headquarters)
Category: All Technology
Req ID: R0001523

Description

The Path Forward Return to Work program at LendingClub is a 16-week paid returnship for experienced engineers returning to the workforce after taking time off for caregiving. The program is open to women and men who have at least 5 years of professional experience and have been out of the paid workforce for at least two years to focus on caring for a child or other dependent. If you meet these criteria, we welcome you to apply.

At LendingClub, we are excited to be part of the Path Forward program because we appreciate the skills you can offer, the perspective you provide, and the contributions you will make. This program offers you a chance to revamp your skills, update your resume with new experience, and make connections with other women and men transitioning back to the workforce. It also offers support through Path Forward, a nonprofit organization on a mission to empower people who’ve been focused on caregiving transition back to the paid workforce.

About Us

Lending Club (NYSE: LC) opened in 2007 with one simple mission: create a more efficient, transparent and customer-friendly alternative to the traditional banking system that offers creditworthy borrowers lower interest rates and investors better returns. Today, we’re the world’s largest online credit marketplace, and we’re radically changing the way lending operates - $1 billion at a time. We’re proud of the recognition we’ve received, including being named one of Forbes’ America’s Most Promising Companies three years in a row, a 2012 World Economic Forum Technology Pioneer, and one of The World’s 10 Most Innovative Companies in Finance by Fast Company in 2013. We're conveniently located in downtown San Francisco, California.

The Role

Data, and lots of it, is at the core of Lending Club’s business. We use our rapidly growing dataset to understand the market, make credit decisions, predict performance, optimize return on investment, and define product strategy. As part of the Data Solutions organization, the Senior Data Scientist will help us build analytic capabilities as well as partner with various business departments to find new ways to use data to drive the business.

About the job:

  • You will design and develop key metrics to measure product quality, business growth, loan performance, credit risk and investment returns.
  • You will work across the business (operations, finance, credit, etc.) to formulate and define challenges, take on problems, and see opportunities wherever they exist.
  • You will build the models that power our insights and decisions.
  • You will resent data science insights to business decision makers and suggest action items.
  • You will collaborate with engineers to implement data science models into production.

About you:

  • You have 5+ years in Data Science—leveraging large data environment, programmatic techniques and analytic methods to solve complex business problems.
  • You've been out of the workforce for 2+ years.
  • You wield an advanced degree in mathematics, statistics, operation research, computer science or other quantitative fields.
  • You have comprehensive knowledge in statistics and machine learning.
  • Hands on/advanced experience with SQL, Stat packages (SAS, R, etc), and common data processing/programming languages (Python).
  • Ability to explain data science insights to people with and without a quantitative background
  • Ability to contribute independently, as well as collaborate in a team.
  • Nice to have: Big Data toolstack / experience.
  • You love working with a variety of personalities.
  • You love diversity of thought, and celebrate inclusion.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-RS1





Are you a returning applicant?

Previous Applicants:

If you do not remember your password click here.

Back to Search Results

New Search