The primary job function is to manage a team responsible for mining complex and unstructured data sets using advanced statistical methods for use in data-driven decision making.

• Guides research, analysis, and modeling on organizational data.
• Leads data scientist team, providing expertise on various business issues and providing solutions. 
• Oversees development and application of algorithms or models to key business metrics with the goal of improving operations or answering business questions.
• Identifies projects or initiatives that could benefit from a quantitative review.
• Provides recommendations to decision-makers based on research findings.
• Other functions may be assigned

• Bachelor’s degree. Bachelor's degree in computer science, statistics, applied math, or related field required. 
• Advanced degree (or ACAS/FCAS credentials) preferred. 

Experience:

• At least 5 years of experience in data mining and data/statistical analysis.
• At least 5 years experience with SQL and statistical software packages (Python, R, SAS) required.
• At least 5 years experience working as a data scientist or similar role, with a proven track record in data processing, predictive modeling, and machine learning techniques
• At least 2 years experience in P&C insurance
• At least 2 years experience managing a team of data scientists, data analysts, or data engineers (or proven track record in leading projects in group settings and mentoring peers or interns).

Knowledge and Skills:

• Comprehensive knowledge of the field’s concepts and principles. Performs complex tasks typically following established processes. Leads and directs the work of other employees and has full authority for personnel decisions. Primarily focused on administering established policies and procedures but may have some impact on departmental budgeting, strategic planning, and procedural change.
• Ability to foster teamwork. Ability to develop and mentor others. Management skills. Oral and written communication skills.
• Problem/situation analysis. Ability to identify and seek needed information/research skills. Analytical thinking skills. Statistical knowledge. Technical expertise. Mathematical skills.

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn more about us here: https://www.mercuryinsurance.com/about/careers

We offer many great benefits, including:

• Competitive compensation
• Flexibility to work from anywhere in the United States for most positions
• Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
• Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
• Medical, dental, vision, life, and pet insurance
• 401 (k) retirement savings plan with company match
• Engaging work environment
• Promotional opportunities
• Education assistance
• Professional and personal development opportunities
• Company recognition program
• Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Mercury Insurance is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.