Data Scientist II, Applied ML

The shape of it

In the posting’s own words

The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data —and insights derived from data — a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers.

What it asks for · 6

• 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
• Expertise in Python programming, SQL queries, and ML-related frameworks
• Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset
• Strong software engineering fundamentals, including experience with API development and integrating ML systems into production services
• Strong communication skills and the ability to collaborate with various stakeholders, both technical and non-technical

Also a plus

• Experience working with real-time models
• Advanced degree (MSc/PhD) or published research in Machine Learning or a related field
• Previous experience in the risk domain (fraud, AML, and/or credit) or building customer-facing ML models (suggestions/automations)
• Experience in the fintech industry

What the job covers

• Drive Data & AI solutions from inception to deployment to efficiently manage risk and/or improve customer experience.
• Be responsible for the full machine learning lifecycle — problem identification, model design, training, productionization, and monitoring.
• Partner with cross-functional teams (Ops, Engineering, Product, Fraud, Compliance, and Credit).

Degree language

• 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field

Tools and skills named

Words the posting leans on

• data8×
• experience7×
• model7×
• model development3×
• product3×
• productionization3×
• risk3×
• stakeholders3×
• statistical3×
• and/or2×
• credit2×
• engineering2×
• field2×
• fraud2×
• lifecycle2×
• machine learning2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Brex

• Account Executive, Small BusinessSalt Lake City, Utah, United States
• Account Executive, Small BusinessNew York, New York, United States
• Account Executive, Small BusinessSan Francisco, California, United States
• Account Executive, YCSan Francisco, California, United States
• Account ManagerSan Francisco, California, United States
• AI Engineer, EcosystemSan Francisco, California, United States