9 дней назад
Manager, AI and Data Science
131 900 - 237 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, AI and Data Science (AI/ML and healthcare): Leading teams developing and validating AI/ML models and data-driven solutions for complex healthcare challenges with an accent on experimentation, model monitoring, responsible AI, and productionization. Focus on building high-performing scientific teams, developing generative AI and RAG prototypes, and translating research into scalable, measurable business outcomes.
Location: Telecommuter, working from home; hiring is limited to specified U.S. states
Salary: $131,900–$237,400 national range; $150,300–$270,500 national plus range for higher-cost labor markets.
Company
is a healthcare organization using AI and data science to improve healthcare decision-making and customer outcomes.
What you will do
- Build and lead a team of data scientists, machine learning scientists, and experimental engineers.
- Guide the development, prototyping, testing, and validation of AI/ML models for complex healthcare challenges.
- Oversee model performance monitoring, drift detection, retraining strategies, and production reliability.
- Promote reproducible experimentation, peer review, responsible AI, fairness, and explainability.
- Partner with business, analytical, and technical stakeholders to evaluate impact and translate scientific concepts into decisions.
- Mentor team members and establish documentation, agile experimentation, and continuous learning practices.
Requirements
- Bachelor’s degree in computer science, statistics, mathematics, or a related quantitative field, or equivalent professional experience.
- At least 2 years leading analytical or scientific teams and 5 years developing and validating AI/ML solutions and conducting quantitative analytics.
- Experience with Python data science libraries, statistical analysis, supervised and unsupervised learning, deep learning, and generative AI.
- Experience with SQL, MLOps frameworks, model monitoring, productionization, experimentation, and iterative development.
- Experience with healthcare and healthcare data, responsible AI practices, and cross-functional collaboration.
- Applicants must be located in one of the listed U.S. states.
Nice to have
- Master’s or PhD in a quantitative, computational, or scientific field.
- Experience with NumPy, Pandas, Matplotlib, scikit-learn, SHAP, LIME, Statsmodels, PyMC3, XGBoost, LightGBM, Hugging Face Transformers, or spaCy.
- Experience with TensorFlow, PyTorch, Keras, microservices, distributed computing, and container orchestration.
- Experience managing academic or industry research partnerships.
Culture & Benefits
- Medical, vision, and dental coverage with low employee premiums.
- 401(k) employer match, pension plan, life and disability insurance, and wellness resources.
- Paid time off, tuition assistance, and employee recognition programs.
- Culture focused on collaboration, innovation, continuous development, and meaningful healthcare impact.
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