обновлено 6 дней назад
Senior Data Scientist (AI)
140 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI): Developing and deploying predictive and hybrid AI models for insurance decision intelligence with an accent on deep learning, large language models, and traditional data science techniques. Focus on taking models from prototyping to production, solving unstructured data and sequence-modeling challenges, and delivering measurable business impact.
Location: Fully remote, with hybrid work available for candidates local to Boston
Salary: $140,000–$170,000 base salary annually, plus annual performance bonus, equity grant, and benefits
Company
provides decision-intelligence and AI solutions for the insurance industry, using large-scale policy and claims data to help customers identify risk and improve performance.
What you will do
- Advance core AI models and own well-scoped models end to end.
- Build hybrid models using deep learning, large language models, and traditional data science techniques.
- Prototype, validate, deploy, and commercialize models that deliver measurable improvements.
- Work with big data, federated learning, unstructured data, time-series and sequence modeling.
- Translate complex analytical results into clear business messages for customers and stakeholders.
- Collaborate with data science, product, engineering, and leadership partners.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or a related field with 3–5 years of professional data science experience, or a master’s/Ph.D. with 1–2 years of experience.
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow and modern AI architectures including Transformers, neural networks, and LLMs.
- Advanced Python skills and experience with Pandas, NumPy, Scikit-learn, LightGBM, or similar tools.
- Experience with SQL, relational databases, and cloud environments such as AWS, Azure, Google Cloud, or Databricks.
- Experience taking models from notebooks to production, including experiment tracking, packaging, Docker, model serving, APIs, CI/CD, and pipeline orchestration.
- Strong technical communication and collaboration skills in agile squads and data science leadership settings.
Nice to have
- Experience with actuarial methods and collaboration with actuaries.
- Familiarity with healthcare and medical data.
- Experience with underwriting, claims, long-tailed events, or rare-event prediction.
Culture & Benefits
- Team-oriented startup environment with opportunities to lead new projects and build reusable systems.
- Flexible schedule supporting work from home.
- Generous stock options and equity participation.
- Unlimited vacation days.
- Medical, dental, vision, 401(k), paid parental leave, and other benefits.
- Opportunities for learning and taking on additional responsibilities.
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