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Senior Data Scientist, Pricing

SoFi

SoFi

Data Science
Seattle, WA, USA · New York, NY, USA · Fairfax, VA, USA · Seattle, WA, USA
Posted on Tuesday, September 12, 2023

Employee Applicant Privacy Notice

Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role
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
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.