Head of ML/Data Science

Role Details

• Role: Head of ML, similar to a Senior Data Science Manager.
• Responsible for managing the application fraud team, building zero to one models, and running the suite of fraud products.

Technical and Experience Requirements

• Must have 4-5 years of management experience and have scaled products and teams.
• Needs to have hands-on coding ability, though they won’t code regularly, and must pass a technical coding exercise.

Education Requirements

• Preferred Master''s or PhD in a relevant STEM field, but exceptional Bachelor''s profiles considered.

Seniority

• 7 - 15 years of experience in applied ML/data science, building production models in fintech, cybersecurity, or other high stakes domains

• Work experience

• 4+ years managing data science/ML teams in high-growth startups (must have managed people building and deploying ML products core to the business)

• Proven track record of solving complex / high profile business problems with DS / ML solutions. (Scaled a product suite of ML models, not just one model)

• Held senior/leadership role at a fast growing startup (20-400 people) with broad scope

• Shows great slope and career progression

Education

Master''s or PhD in a STEM field (math, stats, CS, physics, engineering) - target top universities

Hard skills

End-to-end ML: feature engineering, model training, productionalization, monitoring

Strong software engineering abilities in Python

Domain experience in fraud, identity verification, or financial risk

Soft skills

Experience in communicating progress + outcomes to senior management / stakeholders