Head of Data Science/ Machine Learning
Location : CA/Remote
Full time role
Education Requirements
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Preferred Master's or PhD in a relevant STEM field, but exceptional Bachelor's profiles considered.
Interview Process
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Four rounds: recruiter call, hiring manager interview, technical (coding and case study), and leadership round.
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Leadership round involves the head of people, CTO, and CEO.
Ideal Candidate Profile
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Combination of machine learning engineering and data science, capable of writing production code.
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Strong communicator, able to articulate complex information effectively.
Team Culture and Expectations
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High-caliber, select team with high expectations and visibility.
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Autonomy in growing products and scaling teams, with a strong focus on technical and problem-solving capabilities.
Seniority
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7 - 15 years of experience in applied ML/data science, building production models in fintech, cybersecurity, or other high stakes domains
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Work experience
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4+ years managing data science/ML teams in high-growth startups (must have managed people building and deploying ML products core to the business)
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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)
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Held senior/leadership role at a fast growing startup (20-400 people) with broad scope
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Shows great slope and career progression
Education
Master's or PhD in a STEM field (math, stats, CS, physics, engineering) - target top universities
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
Experience in communicating progress + outcomes to senior management / stakeholders
