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Data Scientist II, Applied ML
Brex San Francisco, CA, USA
$152K – $190K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Dataab-testingfraud-riskmachine-learning4 hours ago
F
AI & Operations Process Manager
Fever Madrid, Spain
Not specifiedFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Operationsdata-analysisprocess-optimizationworkflow-automation4 hours ago
SA
Product Operations Lead, Generative AI
Scale AI San Francisco, CA / New York, NY, USA
$181K – $226K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Operationsproduct-operationsllm-datagenerative-ai8 hours ago
O
Machine Learning Data Scientist - Consumer Forecasting
OpenAI San Francisco, CA, USA
$347K – $445K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Datadata-sciencescikit-learnforecasting8 hours ago
SA
GenAI Compliance Operations & Programs Associate
Scale AI Ciudad de México, México
Not specifiedFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.
Legal & Policycompliancegenailegal-ops2 weeks ago

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Data Scientist II, Applied ML

at BrexSan Francisco, CA, USA

Apply now

$152K – $190K /yearFound by AICareersOnlyOn-siteFull-timeMid levelData

88

AI Signal

Job overview

About the role

Brex is hiring a Data Scientist II for its Applied ML team to build models on financial data that reduce risk and improve the customer experience. You'll own projects end to end, from framing the problem with stakeholders to deploying and monitoring models in production.

What you'll do

Lead AI/ML solutions from concept through deployment to manage risk or enhance customer experience
Own the full machine learning lifecycle: problem definition, model design, training, productionization and monitoring
Work closely with Operations, Engineering, Product, Fraud, Compliance and Credit teams
Follow through on business impact and bring insights back to stakeholders for product and strategy decisions

Requirements

3+ years in Data Science/ML roles, or 2+ years with a PhD in a quantitative field
Proven end-to-end model development experience, including productionization
Strong Python, SQL and ML framework skills
Solid statistics background (hypothesis testing, A/B testing) and software engineering fundamentals such as API development
Clear communication with technical and non-technical partners

Nice to have: real-time models, advanced degree or published ML research, risk domain (fraud, AML, credit) or fintech experience.

ab-testingfraud-riskmachine-learningmlopsstatisticssqlpythonapi-development

Posted 4 hours ago

Find your next AI role

Find your next AI role

Data Scientist II, Applied ML

AI & Operations Process Manager

Product Operations Lead, Generative AI

Machine Learning Data Scientist - Consumer Forecasting

GenAI Compliance Operations & Programs Associate