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.
We are seeking a Senior Data Scientist to join our Pricing team in the Lending Organization. This is an exciting role for someone to make a direct impact on the revenue of SoFi. As a senior data scientist in our Pricing team, you will be working closely with a world-class team of business leaders and data scientists to help SoFi develop, implement and continuously improve statistical and machine learning models for price optimization.
What you’ll do:
Develop, implement and continuously improve pricing models and strategies;
Leverage in-house, external and other open-source machine learning software/algorithms;
Research and apply superior data and methodology for the models;
Perform ongoing monitoring of the models through construction of dashboards and KPI tracking;
Interact with Pricing and Finance business leaders to ensure the models are correctly used in the decisions;
Interact with broader Engineering teams for model deployment;
Present model performance and insights to business leaders.
What you’ll need:
B.S. or M.S.. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position;
5-7 years of industrial experience working in the area of model development in the financial services industry;
Proven track record of end-to-end experience in model development, testing, implementation and performance tracking in the financial services industry;
Expert 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;
Exceptional programming skills in Python and R (Python preferred)
Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc;
Ability to work in a dynamic, cross-functional environment, with strong attention to detail;
Effective communication skills and ability to explain complex models in simple terms;
Strong relationship building and collaborative skills;
Exceptional problem-solving skills;
Experience in documenting models;
Nice to have:
Experience solving optimization problems
Experience in building pricing models
Experience with building/using Tableau dashboards
Why you’ll love working here
Competitive salary packages and bonuses
Comprehensive medical, dental, vision and life insurance benefits
Generous vacation and holidays
Paid parental leave for eligible employees
401(k) and education on retirement planning
Tuition reimbursement on approved programs
Monthly contribution up to $200 to help you pay off your student loans
Great health & well-being benefits including: telehealth parental support, subsidized gym program
Employer paid lunch program (except for remote employees)
Fully stocked kitchen (snacks and drinks)
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.