Staff Data Scientist

SoFi

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $223,560–$245,916 / yr
Posted: 25 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $235k

$110k most similar roles pay here $260k

This role pays more than 77% of similar roles. Most pay $136,187–$226,406 — the shaded band above. At the midpoint, this role pays about $235k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About SoFi

SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance

SoFi currently has 17 open roles on FindRole.

Listed pay typically runs $156,800–$247,500 across 17 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Staff Data Scientist

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Staff Data Scientist joins the team to identify opportunities and collaborate cross-functionally to develop, implement, and improve machine learning models and strategies supporting credit underwriting. The role involves applying AI and advanced machine learning to solve complex business problems, evaluating alternative data sources, and conducting proof of concept projects for external vendor solutions. Key responsibilities include enhancing the risk model development codebase with custom Python scripts, ensuring compliance with Model Risk Management and Fair Lending requirements, and spearheading model deployment across various departments. The position requires expertise in supervised and unsupervised learning, statistical modeling, and inference on modern cloud platforms. Technical skills include Python, SQL, NoSQL, Hive, and CICD pipelines for production endpoints. Domain experience includes unsecured loan credit and cashflow underwriting, as well as familiarity with credit bureau data from providers like Experian, TransUnion, or Equifax.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

Skills

Machine Learning Python SQL NoSQL Hive Statistical Modeling CICD Data Science Statistics Supervised Learning Unsupervised Learning Model Deployment

What you'll do

Develop and improve machine learning models and strategies to support credit underwriting.
Apply AI and advanced machine learning techniques to solve complex business problems.
Evaluate alternative data sources and external vendor solutions through proof of concept projects.
Enhance the risk model development codebase by creating customized Python scripts or packages.
Ensure all models meet Model Risk Management, Fair Lending, and other regulatory requirements.
Lead the deployment of models in coordination with Credit, Product, Engineering, and Business units.
Present model performance metrics and data insights to senior leadership across various business units.

What we're looking for

A Master's degree in Statistics, Data Science, or a related quantitative discipline and experience is required.
A Bachelor's degree in Statistics, Data Science, or a related quantitative discipline and experience is required.
Proficiency in machine learning and statistical modeling for supervised and unsupervised learning is required.
Proficiency in Python is required.
Experience with databases and related tools including SQL, NoSQL, and Hive is required.
Knowledge of statistical inference is required.
Experience in the full model development cycle on modern cloud platforms is required.
Experience in unsecured loan credit and cashflow underwriting is required.