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Responsibilities:
- Work with business departments to understand processes and needs, identifying opportunities for analysis and improvement.
- Conduct ad-hoc analyses using statistical and machine learning algorithms to improve decision-making.
- Create monitoring procedures and reports for implemented projects and identify areas for accuracy and efficiency improvement.
Qualifications:
- Bachelor's degree in math, statistics, computer science or related field; Master's or actuarial credentials preferred.
- At least 2 years of experience in data mining and statistical analysis, with strong SQL and Python/R/SAS skills.
- Experience in predictive modeling, machine learning, and insurance or financial services is a plus.
Benefits:
- Competitive compensation with bonus potential and comprehensive benefits package.
- Flexibility to work from anywhere in the United States for most positions.
- Paid time off including vacation, sick time, holidays, and volunteer hours, plus health and wellbeing resources.
Mercury Insurance
Mercury Insurance is an insurance company that helps people reduce risk and overcome unexpected events. They have been in business for over 60 years and are recognized as one of America's Best Midsize Employers, fostering a culture of teamwork and inclusion.