Leader, Marketing Data Science, Consumer Lending Products

Data San Francisco, California


Description

Who We Are

SoFi is a digital personal finance company whose mission is to help its members achieve financial independence to realize their ambitions, whether that be to buy a house one day, start a family on their own terms or be debt free. We aim to be at the center of our members’ financial lives, and to help every member Get Their Money Right®. By joining SoFi, you’ll become part of a forward-thinking company that is transforming financial services by embracing technology to build innovative loan products, investment tools, and more. One of the fastest growing fintech companies, we’ve grown from 250 employees in 2015 to over 1,500 employees today, and are well on our way to reaching 1 million members. With offices across the US, we offer the excitement of a rapidly growing startup with the stability of a seasoned management team and some of the best talent around. As an employer, we strive to hire employees who are committed to both our company’s mission and our desire to build the best culture in the world. If you are driven, passionate about what you do, and excited about the SoFi mission, we would love to hear from you.

The Role

We are seeking a leader for our Marketing Data Science / Analytics team that serves our Consumer Lending businesses. In this role you will work closely with our product marketing leads for Consumer Lending products and media channel owners to measure, test and optimize our marketing performance. You will lead a team of data scientists who are (1) building and updating marketing mix models to inform media spend allocation, (2) building propensity models for direct mail and digital targeting and (3) designing/implementing experiments to measure specific marketing strategies. You will work closely with modelers on the team on machine learning models to drive targeting efficiency for Direct Mail, Addressable TV and Digital.

To be successful in this role, you need to have at least 7+ years of hands-on marketing analytics and modeling experience, preferably in financial services. You need to have experience building direct mail propensity models with proven track record in driving substantial improvements and in delivering top line business impact. You need to have 3+ years of people leadership experience. 

What You'll Do:

  • Lead a team of data scientists / analysts

  • Lead development, implementation and continuous improvement of models and strategies

  • Apply statistical techniques to measure/attribute marketing performance and setup experiment design plans

  • Lead development and implementation of direct mail/digital/addressable TV test plans, analyze and optimize performance

  • Identify opportunities to improve marketing efficiency such as incrementality test 

  • Cultivate strong partnerships with Product Marketing, Channel Owners and Lending Business Units. Deliver data driven strategies to influence spend allocation by media channel and within channels. Provide thought leadership and hands-on analysis of media channel economics and profitability

What You'll Need:

  • M.B.A. or Master’s or Ph.D. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field

  • At least 3 years of people leadership and management experience

  • 7+ years’ of experience in an analytical role (consulting to external clients and/or internal business partners). Preferably 3+ years of experience working in the area of model development in financial services domain

  • Deep understating of marketing measurement techniques including media mix optimization , multi-touch attribution and testing

  • Knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression analysis, clustering, outlier detection, novelty detection, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods

  • Programming skills in Python and/or R are a plus

  • Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc

  • Ability to work in a dynamic, cross-functional environment, with a strong attention to detail

  • Effective communication skills and ability to explain complex models in simple terms

  • Strong relationship-building and collaborative skills

Why You'll Love Working Here

  • Inspiring company mission

  • Amazing work environment in San Francisco, CA

  • Competitive compensation, including equity

  • Generous paid time off

  • Free lunch and healthy snacks

  • Subsidized gym membership

  • Medical, dental and vision insurance

  • 100% of health, vision, and dental premiums paid by SoFi for employees and dependents

  • 401K and commuter benefits

  • Tuition reimbursement on approved programs, up to $5,250 / year

  • Monthly contribution to help you pay off your student loans

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.