Senior Data Scientist - Generative AI (Data Science Lab)

About the role

We are seeking a Senior Data Scientist - Generative AI to contribute with a strong background in LLM and Generative AI. The role involves developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Company’s products. Collaboration with Data Science Tech Leads on high-impact high-visibility projects is expected.

Responsibilities

• Develop Deep Learning/Large Language Model/Generative AI capabilities
• Mining unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs
• Design and develop high-quality prompts and templates that guide the behavior and responses of LLM
• Evaluate LLM models on statistical tests, business metrics, and bias and other regulatory metrics
• Develop Enterprise Test and Learn Capabilities
• Create test hypothesis, experiment design including KPI selection, and collection and analysis of data
• Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets
• Utilizing advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs
• Identify source data and data quality checks both in model/solution development and in production
• Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps
• Contribute to the overall Data Science organization
• Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups
• Contribute to standardization of Data Science tools, processes, and best practices

Requirements

• 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 Natural Language Processing (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 and collaborate cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level
• Excellent analytical and problem-solving abilities with superb attention to detail
• Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success