Staff Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Data Scientist: Building scalable ML systems and data products that impact company growth and operations with an accent on production deployment, business alignment, and technical leadership. Focus on translating ambiguous business problems into executable ML roadmaps, driving end-to-end model lifecycles, and establishing reproducible standards for the data team.
Location: US Remote for US-based candidates
$180K – $220K • Offers Equity (US-based)
Company
is the leading health and wellness platform redefining healthcare with personalized, accessible care from diagnosis to delivery.
What you will do
- Lead design and delivery of ML systems and data products impacting growth and strategy
- Translate business questions into technical roadmaps with actionable results
- Drive end-to-end deployment of robust, maintainable ML products in production
- Partner with Engineering, Product, and Finance to align technical and business goals
- Establish standards for model development via design docs and peer reviews
- Own full model lifecycle from data design to long-term performance
Requirements
- 8+ years in Data Science or ML Engineering with production systems impact
- High proficiency in Python and SQL; expert in pandas, NumPy, scikit-learn, and PyTorch/XGBoost/LightGBM
- Systemic problem-solving for scalability and immediate value
- Leadership to influence without authority and communicate to executives
- Experience with CI/CD, MLOps, and model lifecycle in AWS/GCP
- BS/MS/PhD in quantitative field or equivalent
Nice to have
- Forecasting expertise in time-series and probabilistic methods
- Optimization for marketing, inventory, or resource allocation
- Causal inference beyond A/B testing
Culture & Benefits
- Unlimited PTO, company holidays, quarterly mental health days
- Comprehensive health benefits: medical, dental, vision, parental leave
- Employee Stock Purchase Program (ESPP) and 401k with matching
- Competitive salary and equity for full-time roles
- Offsite team retreats
- Talent-first flexible/remote work approach
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