Protective Life is hiring a
Data Science Lead Associate

Summary

Join a team that helps protect millions of lives by providing protection and peace of mind to customers. As the Lead Data Scientist, you will play a pivotal role in shaping the direction of data science efforts, overseeing project execution, and collaborating with cross-functional teams.

Requirements

• A minimum of 6 years of relevant work experience. Advanced degrees may be used as a substitute for some experience
• Expertise in advanced analytics, statistical modeling, machine learning
• Strong programming skills in languages such as Python or R
• Strong understanding of life insurance industry or similar business domain
• Excellent communication and stakeholder relationship management skills. Ability to translate business requirements into technical solutions and vice versa
• Proven ability to stay up to date on the evolving Data Science field and drive the adoption of innovative solutions

Responsibilities

• Collaborate with executives and stakeholders to align data science initiatives with business goals ensuring the right work is done at the right time
• Lead the development and execution of the overall data science strategy. Ensure the delivery of high-quality, scalable, and robust data science solutions
• Oversee and execute the design and implementation of complex machine learning models
• Ensure proper communication of results to business stakeholders and executive sponsors
• Lead collaboration with different functional teams to deploy algorithms and develop processes and tools for monitoring model performance and data accuracy
• Provide technical leadership and mentorship to the data science team
• Drive innovation by staying abreast of emerging technologies and methodologies, data sources and tools, and industry trends

Preferred Qualifications

• Master’s or PhD in a relevant field (Applied Mathematics, Statistics, Computer Science, etc.)
• Previous work in a similar role within the industry or related field
• Contributions to research, publications, or patents related to data science or machine learning
• Strong understanding of software engineering practices, version control, and deployment pipelines
• Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer)

Benefits

• Health insurance
• Dental and vision insurance
• Mental health benefits
• Employee assistance program
• Paid time off
• Paid parental leave
• Short-term disability
• Cultural observance day
• Contributions to healthcare accounts
• Pension plan
• 401(k) plan with Company matching