3 дня назад
Senior Data Scientist - IntelliScript (Remote)
93 700 - 222 985$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist - IntelliScript (Remote) (GenAI/NLP): Building and deploying machine learning and generative AI solutions for healthcare, insurance, and life sciences products with an accent on NLP, electronic health records, model validation, and commercially viable analytics. Focus on developing RAG systems and local LLM integrations, maintaining production models, and improving data science practices across product and engineering teams.
Location: Remote within the United States; travel to the office in Brookfield, Wisconsin and nationwide travel for meetings, conferences, and team events may be required.
Salary: $93,700–$222,985 annually, with ranges varying by state and professional experience.
Company
IntelliScript develops SaaS products that deliver electronic medical data and underwriting decision-support tools for health and life insurance and life sciences clients.
What you will do
- Research, develop, deploy, and maintain traditional AI and machine learning models.
- Build generative AI solutions for healthcare-related internal and external use cases, including centralized tooling and local LLM integrations.
- Construct, validate, document, and deliver model-based products for healthcare, insurance, and life sciences markets.
- Collaborate with Product, Business Development, ML Engineering, IT, and other data scientists.
- Drive model design, experimentation strategy, peer review, coaching, and continuous improvement.
Requirements
- 5+ years of professional experience applying AI and machine learning to commercial data science solutions.
- Experience with electronic health records or unstructured data analysis.
- Strong knowledge of traditional machine learning, deep learning, NLP, generative AI, model validation, and experimentation.
- Hands-on experience building GenAI applications such as RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools.
- Strong Python skills with some experience in R and/or SQL; proficiency with Databricks or a similar model development ecosystem.
- Knowledge of Git, unit testing, environment management, CI/CD, Docker, AWS Lambda, Linux, and ML Ops concepts; relevant degree required.
Nice to have
- Master’s degree or an actuarial designation such as FCAS or FSA.
- Experience in healthcare, insurance, finance, life sciences, InsurTech, or FinTech.
- Experience working in a HIPAA, PHI, or PCI-compliant environment.
Culture & Benefits
- Entrepreneurial, collaborative culture focused on innovation, transparency, customer service, and work-life balance.
- Skills training, career development, learning opportunities, mentoring, and employee resource groups.
- Medical, dental, vision, life, disability, and employee assistance benefits.
- 401(k) matching and profit-sharing, discretionary bonuses, flexible spending accounts, paid time off, and at least 10 paid holidays.
- Family-building benefits and up to 11 weeks of paid parental leave for eligible employees.
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