[Remote] Associate Data Scientist

Note: The job is a remote job and is open to candidates in USA. Mercury Insurance is an insurance company seeking an Associate Data Scientist to support analytical projects that identify business opportunities, answer business questions, and develop business solutions. The role applies statistical and machine learning techniques, prepares data and reports, and collaborates with software engineers, data analysts, product leaders, and business teams.

Responsibilities

• The team member will work with various business departments to understand their business processes and needs
• The team member will identify and use relevant data sources to conduct project work and ad-hoc analyses using statistical and machine learning algorithms
• The team member will work independently with some guidance from senior data scientists and management
• The team member will communicate and collaborate with colleagues and managers regarding analysis needs and results
• The team member will provide data support on projects and work with business on implementation
• The team member will create and maintain monitoring procedures and reports for projects and look for ways to improve accuracy and efficiency
• Collect data from different applications and data infrastructure
• Extract, transform and load large amount of structured or unstructured data from various sources
• Apply data manipulation techniques to clean and prepare data for analysis. Review data for quality and consistency and optimize data retrieval methods when needed
• Create and maintain reports, graphs and charts through dashboard and other programming and MS Excel
• Follow procedures to streamline analysis processes
• Support automated procedures to help reduce cost and improve efficiency
• Respond to questions and requests from business on related reports
• Communicates effectively and regularly with SMEs, EBI, MTS, and Management in the various functional areas to learn about each job function
• Through this communication, the employee will be expected to expand his/her knowledge of the processes associated with these functions, and of the various KPI’s that measure business performance in each area and overall
• Creates presentations summarizing problems identified, potential solutions
• Participates in meetings with to share findings and recommendations
• Team member should have a solid background in creating and explaining relevant graphs and be proficient at preparing and presenting PowerPoint presentations

Skills

• Worker characteristics are normally acquired through the successful completion of a Bachelor's degree in math, statistics, computer science or other related areas
• Completion of the Summer 2026 Internship at Mercury Insurance
• At least 2 years of experience in data mining and data/statistical analysis
• At least 2 years experience with SQL and statistical software packages (Python, R, SAS) required
• Experience in insurance or financial service related fields
• Demonstrated solid skills in data mining, machine learning, programming and optimization
• Knowledge with cloud-based advanced data and analytics environment
• Passion for problem-solving, comfort with ambiguity
• Ability to think conceptually, analytically and creatively
• Experience using R, Python and other programing languages
• Strong data skills and the ability to work with large structured and unstructured data sources
• Experience in of predictive modeling, general model building, and validation procedures
• Excellent problem-solving skills required
• Excellent analytical and critical thinking required
• Excellent written and verbal communication skills required
• Demonstrate Company's Core Values
• Master's Degree (or ACAS) preferred

Benefits

• 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

Company Overview

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