Sofi
San Francisco
1,001-5,000 employees
The finance company that’s helping members get their money right—save, spend, earn, borrow, and invest - all in one app.
Other Open Roles
Prior Listings
- Senior Analyst, Model Risk Management
- Manager, Data Engineering
- Senior Data Scientist
- Senior Manager, Data Engineering
- Data Analyst, Money
- Senior Risk Data Analyst, Fraud Prevention
- Staff People Analyst
- Senior Data Scientist, Lending
- Senior Staff Risk Analyst, Fair Lending
- Sr. Data Scientist (Relay)
- Senior Staff Data Scientist
- Sr. Software Engineering Manager, Data
- Senior Analyst, Fraud Prevention
- Staff Software Engineer, Central Member Data
- Cyber Fraud Data Analyst
- Senior BI Analyst, Strategic Finance
- Sr. Engineering Manager, Data
- Senior Analyst, Model Risk Management (Validation)
- Senior Analyst, Credit Card Pricing
- Senior Data Analyst, Internal Audit
Senior Data Scientist, Pricing
Senior Data Scientist, Pricing
This job is no longer open
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.
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
This job is no longer open