Data Science Lead Associate

Protective Life Insurance Company; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Data Science Lead Associate to drive impactful data science initiatives. In this fully remote role, you will play a pivotal part in shaping data science strategies, ensuring high-quality solutions are delivered while collaborating with executives and stakeholders. Your expertise in statistical modeling and machine learning will be crucial as you translate business requirements into technical solutions. Join a forward-thinking team that values innovation and technical leadership, and help shape the future of data-driven decision-making in the life insurance industry.

Qualifications

• 6+ years of experience in data science or related field.
• Expertise in advanced analytics and machine learning.

Responsibilities

• Oversee project execution and collaborate with cross-functional teams.
• Design and implement complex machine learning models.

Skills

Machine Learning

Statistical Modeling

Python

R

Advanced Analytics

Education

Bachelor's Degree in Applied Mathematics

Bachelor's Degree in Statistics

Bachelor's Degree in Computer Science

Bachelor's Degree in Data Science

Job description

Protective Life Insurance Company, Birmingham, AL. Data Science Lead Associate. *Fully Remote*

Play a pivotal role in shaping the direction of our data science efforts, overseeing project execution, and collaborating with cross-functional teams to deliver impactful solutions. Collaborate with executives and stakeholders to align data science initiatives with business goals. Ensure delivery of high-quality, scalable, and robust data science solutions. Execute the design and implementation of complex machine learning models. Collaborate 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, methodologies, data sources, tools, and industry trends.

Qualifications

1. Requires a bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or a related field, and 6 years of related work experience.
2. Must have expertise in advanced analytics, statistical modeling, and machine learning.
3. Strong programming skills in languages such as Python or R.
4. Strong understanding of the life insurance industry or a similar business domain.
5. Ability to translate business requirements into technical solutions.