Data Science Lead Associate

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most.

As the Lead Data Scientist, you will 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.

Your expertise in advanced analytics, machine learning, and leadership will be instrumental in advancing our organization's data and AI capabilities.

Responsibilities & Essential Functions :

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

Job Requirements :

• Education : Bachelor's degree in relevant field (applied mathematics, statistics, computer science, etc.) Highly Preferred.
• Experience : A minimum of 6 years of relevant work experience. Advanced degrees may be used as a substitute for some experience.

Proven track record of successfully delivering complex data science projects.

• Technical Proficiency : Expertise in advanced analytics, statistical modeling, machine learning
• Strong programming skills in languages such as Python or R.
• Domain Knowledge : Strong understanding of life insurance industry or similar business domain
• Communication & Collaboration Skills : Excellent communication and stakeholder relationship management skills. Ability to translate business requirements into technical solutions and vice versa.
• Innovation : Proven ability to stay up to date on the evolving Data Science field and drive the adoption of innovative solutions

Preferred Qualifications :

• Advanced Degree : Master's or PhD in a relevant field (Applied Mathematics, Statistics, Computer Science, etc.).
• Industry Experience : Previous work in a similar role within the industry or related field.
• Publication Record : Contributions to research, publications, or patents related to data science or machine learning.
• Software Development : Strong understanding of software engineering practices, version control, and deployment pipelines.
• Certifications : Relevant certifications (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer).
• Management experience
• Experience leveraging pre-existing models to solve new challenges / problems (transfer learning)
• Experience with building and implementing deep learning solutions

LI-VG1

Protective's targeted salary range for this position is $105,500 to $162,115. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience.

The range listed is just one component of Protective's total compensation package for employees.

This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

Employee Benefits :

We aim to protect our employees' wellbeing through a broad benefits offering. For example, we protect physical wellbeing through health, dental and vision insurance.

We protect mental wellbeing through mental health benefits and an employee assistance program. We protect time away from work with a variety of paid time away benefits ( e.

g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). We protect financial wellbeing through contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching.

All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards.

Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans.

Diversity and Inclusion

At Protective, we are committed to providing an inclusive culture where all employees are able to fully contribute and thrive.

Our goal is to grow and develop our people, attract diverse talent and support strong, diverse communities.

We support diversity, equity, and inclusion by working to develop a culture of inclusion and belonging led by leaders who develop potential and embrace all skills and abilities.

Our aim is to create an equitable environment for all leaders and employees that will drive performance and impact business strategy.

In this way, we can increase overall diversity for leadership roles and pipelines of talent by maturing our hiring practices, robust development opportunities and focus on retention of key talent.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing the talents of a diverse and inclusive workforce.

Accommodations for Applicants with a Disability

If you require an accommodation to complete the application and recruitment process due to a disability, please email martina.

[email protected] information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process.