Senior Data Scientist - Generative AI (Data Science Lab)
Hybrid · New York City, New York, United States or Boston, Massachusetts, United States
Job Summary
Senior Data Scientist - Generative AI to develop DL/LLM capabilities and map/mining unstructured data from insurance contracts, medical records, sales notes, and customer servicing logs. Build AI/ML solutions to enhance underwriting risk assessment, claims auto adjudication, and customer servicing; run large-scale experiments (unsupervised pre-training to retrieval augmentation and prompt engineering); scale LLMs in development and production; design high-quality prompts and templates to control model outputs; evaluate LLMs using statistical tests and business metrics; contribute to the Data Science Lab and collaborate with cross-functional teams to standardize tools and best practices.
Required Qualifications
- PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field
- 3+ years of hands-on ML modeling/development experience
- Strong theoretical foundations in probability & statistics, and causal inferencing techniques
- Extensive experience in deep learning models including Large Language Models (LLM) and NLP
- Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions
- Strong programming skills in Python including PyTorch and/or Tensorflow
- Solid background in algorithms and a range of ML models
- Excellent communication skills and ability to work cross-functionally
- Proven leadership in providing technical leadership and mentoring to data scientists
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