3 дня назад
Senior Data Scientist (Generative AI)
117 600 - 161 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Generative AI): Building production-ready generative AI applications and autonomous agents for healthcare with an accent on LLMs, responsible AI, and enterprise integration. Focus on designing scalable agentic systems, developing large-scale machine learning models and ETL pipelines, and deploying reliable AI solutions with MLOps and DevOps teams.
Location: Hybrid, with 3 days per week in the office and 2 days remote. Office locations: Louisville, Kentucky; Boston, Massachusetts; New York, New York; Dallas, Texas; Tampa, Florida; or Washington, DC (Arlington, Virginia).
Salary: $117,600–$161,700 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services through and CenterWell.
What you will do
- Design and develop production-ready AI solutions using Python, machine learning, generative models, and large language models.
- Build autonomous AI agents with frameworks such as LangChain, LangGraph, AutoGen, and CrewAI for healthcare reasoning and decision-making.
- Integrate AI solutions into enterprise systems and workflows while addressing scalability, reliability, transparency, safety, and compliance.
- Execute data science initiatives, including the design, development, and implementation of models and algorithms.
- Develop monitoring capabilities to maintain model performance and reliability in production.
- Collaborate with data scientists, data engineers, software engineers, MLOps and DevOps teams, product teams, and business stakeholders.
Requirements
- Bachelor’s degree with 5 years of applicable experience, or master’s degree with at least 3 years of experience, preferably developing production-ready AI solutions.
- Experience with agentic AI system design and language modeling with transformers.
- Proficiency in Python, SQL, PySpark, and data analysis or data mining tools.
- Experience with Scikit-Learn, TensorFlow, or PyTorch.
- Experience building high-performance, large-scale machine learning systems and large-scale ETL pipelines.
- Availability for the required hybrid schedule at one of the listed U.S. office locations.
Nice to have
- Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Prior consulting experience.
Culture & Benefits
- Work with data scientists, engineers, policy experts, and business leaders on responsible AI for healthcare.
- Medical, dental, and vision benefits.
- 401(k) retirement savings plan.
- Paid time off, company and personal holidays, and paid parental and caregiver leave.
- Short- and long-term disability coverage, life insurance, and other wellness benefits.
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