Job Description
Head of Data Science/ Machine LearningLocation : CA/RemoteFull time roleEducation Requirements- Preferred Master's or PhD in a relevant STEM field, but exceptional Bachelor's profiles considered.
Interview Process- Four rounds: recruiter call, hiring manager interview, technical (coding and case study), and leadership round.
- Leadership round involves the head of people, CTO, and CEO.
Ideal Candidate Profile- Combination of machine learning engineering and data science, capable of writing production code.
- Strong communicator, able to articulate complex information effectively.
Team Culture and Expectations- High-caliber, select team with high expectations and visibility.
- Autonomy in growing products and scaling teams, with a strong focus on technical and problem-solving capabilities.
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
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
