Staff Machine Learning Scientist

Ovii's Interpretation of the Role

The Staff Machine Learning Scientist will own the ML models that decide which messages to send to members, when, and through which channel. You will lead technical direction, ship production‑grade recommendation and timing systems, and mentor a small ML team while collaborating with product, data, growth, and marketing.

Role Snapshot

• Own end‑to‑end ML models for proactive communications
• Design send‑time and channel optimization systems
• Build propensity and recommendation models
• Set experimentation rigor for multi‑arm and sequential tests
• Mentor and guide a small ML team
• Partner across product, data, growth, and marketing

Must-Have Requirements

• Python
• SQL
• Experimentation & A/B testing
• Recommendation / ranking / sequential decisioning
• Production ML deployment
• ML systems production
• Bachelor's degree in Computer Science, Statistics, Operations Research, Machine Learning, or related quantitative field

Nice-to-Have Signals

• Contextual bandits
• Reinforcement learning
• Multi‑objective optimization
• Causal inference
• Cold‑start modeling
• Hiring and growing a small ML team
• Healthcare / fintech regulated‑data experience
• HIPAA / BAA familiarity
• Statsig, Databricks, feature stores, Airflow/dbt
• TypeScript
• Healthcare / fintech regulated data
• healthcare
• fintech

Work Setup

• Location: San Francisco, USA
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and ship a system that selects the right nudge, timing, and channel beyond the current contextual‑bandit approach
• Build and deploy propensity models that balance engagement with fatigue and unsubscribe risk
• Define and enforce rigorous experimentation standards (multi‑arm, sequential, CUPED, guard against peeking)
• Own at least one ML model in production from training through monitoring and iteration
• Mentor the ML scientists, set technical direction, and collaborate with product, engineering, data, growth, and marketing teams

Good Fit If You Have

• Experience shipping recommendation or sequential‑decisioning systems end‑to‑end
• Strong background in experimentation and causal analysis
• Familiarity with regulated‑data environments such as healthcare or fintech