Head of Machine Learning / Applied ML Team Lead
Lead a high-growth US tech company’s machine learning team, managing data scientists and developing end-to-end production ML products for fraud and financial risk solutions. Requires 7–15 years of applied ML experience, 3+ years of team leadership, and expertise in Python, production engineering, and fintech domains. Fully remote role with high visibility, significant equity, and leadership ownership.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Head of Machine Learning / Data Science Manager | Applied ML
Remote – USA | $250k–$260k + Equity
I’m working with a high-growth US technology company building machine learning products used to solve complex, real-world fraud and financial risk problems at significant scale.
This is a leadership role for someone who is still deeply technical. You’ll manage and grow a team of Data Scientists while owning the development of production ML products end-to-end: data, feature engineering, model development, productionisation, deployment and monitoring.
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What we’re looking for:
- 7–15 years in applied ML / Data Science
- 3+ years of direct people management
- Strong Python and production engineering skills
- Experience building and scaling multiple production ML models
- Fintech, fraud, credit risk, underwriting or closely related domain experience
- Experience within a high-growth startup environment
- Strong STEM degree, ideally from a top-tier university
- Strong career stability and progression
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This is not an analytics-focused DS role and not a GenAI/LLM position. We’re looking for leaders with substantive experience building classical/applied ML products that directly drive business decisions.
Why consider it?
Fully remote across the US, significant technical ownership, high visibility with senior leadership, strong equity and the opportunity to build and scale both the ML product suite and the team.
Visa transfers/sponsorship can be considered. (Must be based in the US)
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