3 дня назад
Staff Data Scientist
190 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Machine Learning): Building scalable, production-ready machine learning systems and data products for customer growth, supply chain, and marketing attribution with an accent on ML infrastructure, model lifecycle management, and measurable business impact. Focus on translating ambiguous business questions into technical roadmaps, deploying reliable automated pipelines, and leading technical standards across the data organization.
Location: US Remote
Salary: $190,000–$230,000 per year for US-based candidates, plus potential equity; ranges may vary by location outside the US.
Company
Hims & Hers is a public health and wellness platform delivering personalized access to diagnosis, treatment, and healthcare products.
What you will do
- Design and implement automated machine learning systems and foundational ML infrastructure from the ground up.
- Translate ambiguous business questions involving customer acquisition, churn, supply chain, and marketing attribution into actionable technical roadmaps.
- Lead the end-to-end deployment of robust, maintainable ML products in production.
- Partner with Engineering, Product, and Business teams to align technical strategy with measurable business outcomes.
- Define model development standards through design documentation, peer reviews, and reproducible workflows.
- Own model lifecycles and mentor Senior and Mid-level Data Scientists.
Requirements
- 8+ years of experience in Data Science or ML Engineering, with a record of building production systems.
- High proficiency in Python and SQL, including pandas, NumPy, scikit-learn, and at least one major ML framework such as PyTorch, XGBoost, or LightGBM.
- Experience with CI/CD, MLOps, and model lifecycle management in AWS- or GCP-based production environments.
- Ability to solve systemic problems, influence without authority, and communicate complex technical concepts to executive stakeholders.
- BS, MS, PhD, or equivalent expertise in a quantitative field such as Data Science, Statistics, Economics, Computer Science, or Applied Mathematics.
- Must be based in the United States for the stated compensation range.
Nice to have
- Experience taking initial ML models from exploratory notebooks to reliable automated production pipelines.
- Experience with customer behavior and propensity modeling, forecasting, anomaly detection, optimization, or causal inference.
- Knowledge of churn, lead scoring, lifetime value, marketing spend, inventory management, or resource allocation models.
Culture & Benefits
- Competitive salary and equity compensation for full-time roles.
- Unlimited paid time off, company holidays, and quarterly mental health days.
- Medical, dental, and vision coverage, plus parental leave.
- Employee Stock Purchase Program and 401(k) with employer matching.
- Offsite team retreats and a focus on ethics, wellness, diversity, and belonging.
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