Description:

The Data Science Lead Associate will play a pivotal role in shaping the direction of data science efforts at Protective Life Insurance Company.
This position involves overseeing project execution and collaborating with cross-functional teams to deliver impactful solutions.
The associate will collaborate with executives and stakeholders to align data science initiatives with business goals.
The role requires ensuring the delivery of high-quality, scalable, and robust data science solutions.
Responsibilities include executing the design and implementation of complex machine learning models.
The associate will collaborate with different functional teams to deploy algorithms and develop processes and tools for monitoring model performance and data accuracy.
The position also involves providing technical leadership and mentorship to the data science team.
The associate is expected to drive innovation by staying abreast of emerging technologies, methodologies, data sources, tools, and industry trends.

Requirements:

A bachelor’s degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field is required.
The candidate must have at least 6 years of related work experience.
Expertise in advanced analytics, statistical modeling, and machine learning is essential.
Strong programming skills in languages such as Python or R are required.
A strong understanding of the life insurance industry or a similar business domain is necessary.
The ability to translate business requirements into technical solutions is a must.

The position offers the flexibility of fully remote work.
Employees will have the opportunity to work on impactful data science initiatives that align with business goals.
The role provides a chance to lead and mentor a team, fostering professional growth and development.
The associate will have access to emerging technologies and methodologies, enhancing their skill set and industry knowledge.