Data Scientist II, Applied ML

Brex

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $152,000–$190,000 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k

This role $171k

$125k most similar roles pay here $236k

This role pays less than 53% of similar roles. Most pay $141,875–$214,000 — the shaded band above. At the midpoint, this role pays about $171k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Brex

Brex is a financial technology company providing corporate credit cards, cash management accounts, and expense management software designed specifically for startups and growing technology companies. Industry: Financial Technology & Corporate Banking

Brex currently has 85 open roles on FindRole.

Listed pay typically runs $240,000–$285,000 across 81 roles with salary data.

Most-posted roles

View all roles at Brex

At a glance

TL;DR · Data Scientist II, Applied ML

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As a Data Scientist II, Applied ML, you will join the Data team to develop infrastructure, statistical models, and products using financial data. You will manage the entire machine learning lifecycle, including problem identification, model design, training, productionization, and monitoring to improve customer experience and manage risk. This role involves collaborating with cross-functional teams such as Engineering, Product, Fraud, Compliance, and Credit to drive AI solutions from inception to deployment. To succeed, you must possess expertise in Python programming, SQL queries, and ML-related frameworks, alongside strong software engineering fundamentals like API development. You will apply statistical techniques including hypothesis testing and A/B testing within a fintech context. The role focuses on solving critical business problems related to risk management, fraud prevention, and creating automated customer-facing features through advanced data science applications.

What does a Data Scientist earn in California?

Median $214000 from 95 postings across 33 companies.

See salary data

Skills

Python SQL Machine Learning API Development A/B Testing Hypothesis Testing Data Science Real-time Models

What you'll do

Manage the full machine learning lifecycle including problem identification, design, training, and monitoring.
Drive Data and AI solutions from inception to deployment to manage risk and improve customer experience.
Develop and productionize models to achieve specific business impacts and strategic goals.
Integrate machine learning systems into production services using software engineering fundamentals.
Apply statistical techniques such as hypothesis testing and A/B testing to solve complex problems.
Execute SQL queries and Python programming to develop data-driven products and infrastructure.
Collaborate with cross-functional teams including Engineering, Product, Fraud, and Compliance to align on goals.

What we're looking for

Candidates must have 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field.
Demonstrated ability to own end-to-end model development including productionization is required.
Expertise in Python programming, SQL queries, and ML-related frameworks is required.
Ability to apply statistical techniques such as hypothesis testing and A/B testing with a statistical mindset is required.
Strong software engineering fundamentals, including API development and integrating ML systems into production services, are required.
Strong communication skills and the ability to collaborate with technical and non-technical stakeholders are required.
Experience working with real-time models (preferred).
Advanced degree or published research in Machine Learning, experience in risk domains, or fintech industry experience (preferred).

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