Senior Data Scientist, Borrow

SoFi

Quick summary

Work type: On-site
Location: San Francisco, CANew York, NY
Salary: $128,000–$240,000 / yr
Posted: 69 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k

This role $184k

$95k most similar roles pay here $256k

This role pays more than 69% of similar roles. Most pay $126,800–$195,983 — the shaded band above. At the midpoint, this role pays about $184k versus about $161k 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 36 open roles on FindRole.

Listed pay typically runs $153,600–$258,500 across 36 roles with salary data.

Most-posted roles

View all roles at SoFi

At a glance

TL;DR · Senior Data Scientist, Borrow

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The Borrow Data Science team is seeking a Senior Data Scientist to drive growth in lending businesses by transforming raw data into actionable insights. This role involves using SQL, Python, dbt, and Airflow to build robust data pipelines in Snowflake while leading cross-functional initiatives to optimize product decisions through data-driven advocacy. The ideal candidate will champion AI integration, translate complex analyses into clear narratives for business leaders, and ensure KPI consistency across platforms. They must have 5+ years of experience in analytics or engineering roles, preferably in finance or tech, with strong communication skills and a passion for problem-solving in dynamic environments.

Skills

Python SQL dbt Airflow Snowflake Tableau CI/CD Kubernetes AWS Docker PostgreSQL Redis Git Jenkins Prometheus Grafana

What you'll do

Drive proactive insights by identifying trends and opportunities through data analysis.
Champion AI productivity by integrating AI tools to streamline data engineering tasks.
Translate complex analyses into simple narratives for business leaders' decision-making.
Lead optimization of core product decisions, including funnel conversion and experimentation.
Design and maintain scalable reporting pipelines in Snowflake using dbt and Airflow.
Create frameworks ensuring a single source of truth for KPIs across platforms.
Mentor peers on best practices while staying updated with industry trends.

What we're looking for

5+ years of experience in Analytics, Data Science, or Engineering roles
Proven track record of influencing stakeholders and leading projects
Strong programming skills in SQL and Python
Experience using dbt and Airflow to build data pipelines in Snowflake
Ability to translate complex analyses into simple narratives for business leaders
B.S., M.S., or M.B.A. in a quantitative field (Statistics, Economics, Engineering, CS, Mathematics)
Strong relationship-building skills and cross-functional collaboration能力

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