Sr Data Scientist, ML

Job Title: Senior Data Scientist, Machine Learning

Location: New York, NY | Holmdel, NJ | Bethlehem, PA | Boston, MA (Hybrid - 3 days/week in office)

About The Company

We are a forward-thinking insurance company on a transformation journey, committed to enhancing the wellbeing of our customers and their families. Our Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience.

Job Summary

We are looking for a Senior Data Scientist, Machine Learning (insurance, underwriting) to join our Data & AI team. The ideal candidate will be an experienced individual contributor with a strong background and expertise in production-ready AI/ML solutions, with a proven track record of delivering enterprise-level AI/ML solutions and products. This role will involve working in a team of Data Scientists led by a Lead Data Scientist to develop advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and products.

Key Responsibilities

• Lead Data Science Workstreams: Lead use cases and workstreams with junior data scientists, providing technical guidance and mentorship throughout the project lifecycle.
• End-to-End Model Development: Contribute to the complete model lifecycle, including data exploration and understanding, feature engineering, model training and validation, ensuring quality, security, scalability, and fairness in all solutions.
• Use Case Development & Analysis: Support use case development from initial project scoping and design through data reception, processing, analysis, and modeling to creation of final reports and presentations.
• Advanced ML & AI Implementation: Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs, including building LLM/AI powered application prototypes with lightweight UI (e.g., Streamlit).
• Data Quality & Deployment: Identify source data and perform data quality checks in both development and production, package models/solutions and deploy in cooperation with Data Engineers and MLOps, and adhere to model governance, documentation, and testing best practices.
  
  

Requirements

• Education: PhD with 2 years of experience, or Master's degree with 4 years of experience in Statistics, Computer Science, Engineering, Applied Mathematics, or related field
• Experience: 3 years of hands-on ML modeling/development experience with demonstrated track record of delivering enterprise-level AI/ML solutions
• Skills:
• Strong programming skills in Python
• Solid background in algorithms and a range of ML models
• Knowledge of various machine learning techniques (clustering, decision tree, bagging/boosting, artificial neural networks, etc.)
• Hands-on experience with data wrangling including fuzzy matching, regular expression, distributed computing, and applying parallelism to ML solutions
• Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging)
• Working knowledge of NLP, LLMs, RAG architecture, and agent frameworks
• Excellent communication skills and ability to present complex ideas simply to non-technical partners
• Strong analytical and problem-solving abilities with superb attention to detail
• Other: Must be legally authorized to work in the United States without need for employer sponsorship now or in the future
  

Preferred Qualifications

• Experience in insurance underwriting
• Background in insurance, financial services, or related industries
• Experience providing technical leadership and mentoring to data scientists
• Strong project management skills with ability to monitor/track performance for enterprise success
• Experience with safe automation design and evaluation systems
  
  

Benefits

• Competitive Salary: $170,000 - $180,000
• Health and Wellness: Comprehensive health insurance and wellness programs
• Work-Life Balance: Hybrid work model (3 days in office, 2 days remote), generous PTO, and flexible work arrangements
• Professional Development: Opportunities to attend industry conferences, access to training programs, and support for continuous learning in cutting-edge AI/ML technologies
• Additional Perks: Collaborative team environment, opportunity to work on innovative AI projects with real-world impact, and contribute to standardization of Data Science tools and best practices