Data Scientist (Applied Machine Learning)

Brex; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, dental & vision

Generous vacation

Spring Health & Calm

Year-end company shutdown

Milk Stork for nursing parents

In-office days, lunches & offsites

Commuter benefits

4 fully remote weeks

Carrot Fertility benefits

Generous parental leave

Job summary

Brex is expanding its Data organization to build infrastructure, models, and products using financial data to power decisions across the company. Our Scientists and Engineers collaborate to turn data into core assets that improve risk management and customer experience.

We are seeking a data scientist specializing in machine learning to drive solutions from inception to production. You will own end-to-end model development, apply rigorous statistical methods, and partner with cross-functional

Qualifications

• Expertise in Python, SQL, and ML frameworks.
• Strong CS fundamentals, API development, and productionizing ML systems.
• Excellent communication with both technical and non-technical stakeholders.
• Experience owning end-to-end model development, including productionization.
• Statistical techniques such as hypothesis testing and A/B testing.
• 3+ years in Data Science/ML, or 2+ years with a PhD.
• Experience with real-time models.
• Advanced degree (MSc/PhD) or published research in ML or related field.
• Fintech industry experience or risk-domain exposure.

Responsibilities

• Drive Data & AI solutions from inception to deployment to manage risk 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).

Skills

Python

SQL

ML frameworks

API development

Model deployment

Communication

A/B testing

Statistics

Real-time models

PhD/MSc

Risk domain

Fintech

Education

MSc or PhD

Job description

• 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
• 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)

Benefits

• Medical, dental & vision
• Generous vacation
• Spring Health & Calm
• Year-end company shutdown
• Milk Stork for nursing parents
• In-office days, lunches & offsites
• Commuter benefits
• 4 fully remote weeks
• Carrot Fertility benefits
• Generous parental leave

• Expertise in Python programming, SQL queries, and ML-related frameworks
• 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
• Demonstrated ability to own end-to-end model development, including productionization
• Ability to apply statistical techniques such as hypothesis testing and A/B testing, and to approach problems with a statistical mindset
• 3+ years of experience in Data Science/ML roles, or 2+ years with a PhD in a quantitative field
• 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