2 дня назад
Commercial Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Commercial Data Scientist (AI): Delivering client-facing healthcare insights and production data products using machine learning, AI, and large-scale clinician datasets with an accent on statistical analysis, model development, and advanced SQL and Python engineering. Focus on designing scalable models, classifying clinician behavior, automating reusable code, and translating complex findings into clear narratives for commercial stakeholders.
Location: San Francisco, CA, the Northeast (New York, New Jersey, Philadelphia, or Boston), or other remote locations in the United States
Total compensation: $119,333–$172,800, depending on experience, skills, location, and internal equity
Company
is a clinical AI company operating a healthcare workflow platform and a large network of U.S. clinicians.
What you will do
- Deliver client-facing insights using machine learning and AI technologies.
- Collaborate with Product, Platform Data, Insights & Strategy, Sales, analysts, engineers, and commercial stakeholders.
- Create data products from scratch and automate reusable production code.
- Analyze ’s healthcare datasets to identify and classify behavioral patterns of medical professionals.
- Translate complex analyses into clear narratives for internal and client stakeholders.
Requirements
- At least 4 years of professional experience as a Data Scientist or in a related role working with complex, high-volume structured and unstructured datasets.
- Experience in data science consulting, preferably in healthcare or life sciences consulting.
- Advanced statistical knowledge, including exploratory data analysis, experimental design, and probability theory.
- Deep knowledge of modern machine learning and experience designing, training, and evaluating production models with PyTorch or TensorFlow.
- Advanced Python and SQL skills, including production-grade object-oriented code and complex query optimization.
- Experience with distributed data processing, scalable analysis and model training, data visualization, and technical storytelling.
Culture & Benefits
- Flexible remote work and home office support where applicable.
- Medical, dental, and vision insurance.
- 401(k) with company match, flexible paid time off, and company holidays.
- Paid parental leave, wellness and mental health resources, and professional development opportunities.
- Inclusive, collaborative environment focused on curiosity, ownership, reliability, respect, and meaningful healthcare impact.
- Company outings, team lunches, and other social events.
Hiring process
- AI-enabled tools may assist with scheduling, communication, interview coordination, note-taking, or feedback summaries.
- Human recruiters and hiring managers make all hiring decisions.
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