Data Science Intern
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.
Join SoFi's Data Science internship program for the summer of 2020. This is an exciting role for someone to make direct impact on the company’s financial performance and customer experience. You will be working closely with a world-class team of data scientists and business leaders to help SoFi develop, implement and continuously improve statistical and machine learning models.
What You'll Need:
Proven ability to assume a strong sense of responsibility and ownership amidst ambiguity
Proven ability to handle challenging tasks and to multi-task
At least 1 year in the Master’s or Ph.D. program in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position;
Preferred experience building models in financial services industry;
Good 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 R;
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;
Exceptional problem-solving skills.
Why You'll Love Working Here:
Experience SoFi's dynamic & fast-growing environment
Valuable experience to prepare you for future roles in FinTech, entrepreneurship, startups, or your preferred function
Fully stocked kitchen (snacks & 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.