Sr. ML Engineer

NextEra Energy • FL

74d

About The Position

As a Senior AWS Data Scientist at Palms Insurance, you will play a strategic role in shaping the AI engineering initiatives within our organization. This position requires a highly skilled and experienced individual who can leverage advanced analytical techniques, machine learning models, and data engineering practices to drive business insights and decision-making processes. The ideal candidate will have significant experience in the commercial insurance sector, with a strong understanding of its complexities and data-rich environment.

Requirements

• Master’s or Ph.D. degree in Physics, Mathematics, Computer Science, or a related field.
• 7 years of hands-on experience with Python, SQL, NoSQL, and Git process.
• 7+ years of hands-on experience with AWS services including Glue, Redshift, S3, Lambda, Aurora.
• Strong understanding of database architecture and design principles.
• Proven experience in data warehousing, ETL processes, and data pipeline development.
• Strong acumen in coding peer-review and documentation using Git process.
• Expert knowledge in statistical analysis, machine learning, predictive modeling, and data mining techniques.
• Experience with data visualization tools (e.g., Power BI, Grafana) and web app tools.
• Strong Scrum skills for managing projects in a fast-paced, collaborative environment.

Nice To Haves

• Bachelor’s Degree.
• Experience: 4+ years.
• Master’s Degree.
• Doctoral Degree.

Responsibilities

• Build and maintain reliable ETL solutions using AWS services (Glue, Redshift, S3, Lambda, Aurora) to populate the data warehouse.
• Create LLM based data flows for policy and claims bordereaux ingestion and develop mapping profiles for new data sources with our existing template.
• Ensure data quality through rigorous validation and monitoring of data inconsistencies.
• Co-develop a comprehensive data strategy that aligns with the company’s strategic goals in collaboration with the VP of Data Analytics & Technology.
• Oversee change releases, ensuring seamless integration of data science solutions into production.
• Ad-hoc reporting, data analysis, resolving data anomalies, building data trends, statistical analysis, refactoring AWS job-aids pertaining to corporate database.
• Identify, design and implement predictive and prescriptive ML algorithms, to optimize underwriting, claims management, risk assessment, and client engagement.
• Build and maintain feature stores for ML project efficiency and implement statistical analyses for business insights.
• Lead data strategy development aligned with company goals and oversee production deployment of machine learning solutions.
• Lead peer-review processes to ensure high-quality and reliable data science work.
• Implement data governance standards ensuring compliance with industry regulations.
• Maintain CI/CD processes via GitHub with comprehensive code documentation and peer reviews.
• Stay current with industry trends and evaluate new technologies for enhanced analytics capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees