Data Scientist - Remote

Data Scientist - Remote (Enterprise Solutions - Data-Digital-Inno)

50 Amica Way, Lincoln, RI 02865

Your future is our business.

Our office in Lincoln, RI is seeking a data scientist for our Enterprise Solutions - Data-Digital-Inno team.

This position can be performed remotely from anywhere within the United States.

A starting annual salary between $90,403 - $140,000 based on level of previous experience. In addition, hired applicants will be eligible for the company's annual variable incentive paid based on company performance. Additional commission opportunities may apply to customer facing sales and service representatives.

This posting is anticipated to be closed on May 31st, 2024.

As a Data Scientist, you'll develop custom data models, algorithms, and predictive models to increase and optimize customer experiences and to further enhance our pricing capabilities. Beyond the data, you'll have the opportunity to communicate findings and trends to key stakeholders across the company. We navigate our projects through the entire data science lifecycle, from problem definition to data exploration, data wrangling, modeling, analysis, and deployment into production. We maintain a close partnership with IT to ensure that our models can be deployed quickly and monitored on an ongoing basis. You will be a member of this diverse and highly skilled team, working in a highly collaborative, team environment to drive strategically aligned business outcomes.

Must-Have Qualifications:

• Bachelor's or master's degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field and 3+ years of work experience in building machine learning models or PhD in a related quantitative field.
• Demonstrated knowledge of when to apply predictive modeling techniques such as logistic regression, time series, neural networks, random forest, boosting, text mining, clustering, deep learning, optimization, etc.
• Proficiency in analytical programming languages like SAS, R, Python, etc.
• Experience exploring and manipulating large amounts of structured and unstructured data using SQL
• Excellent communication and presentation skills, including storytelling and other methods to guide, inspire, and provide insights to non-technical stakeholders
• Intellectual curiosity, and drive to learn and master new technologies and techniques

Perks and Benefits:

• Medical, dental, vision coverage, short- and long-term disability, and life insurance
• Generous leave programs, including paid parental bonding leave
• Student Loan Repayment and Tuition Reimbursement programs
• Paid Vacation - you will receive at least 10 vacation days in the first 12 months, amounts could be greater depending on the role
• Holidays - 14 paid holidays observed and 2 additional floating paid holidays provided
• Sick time - 6 days sick time at hire, 6 additional days sick time at 90 days of employment
• Generous 401k with company match and immediate vesting
• Family support benefits including back-up care
• Competitive salaries and exceptional benefits
• Fitness and wellness reimbursement
• Employee community involvement
• Strong relationships, lifelong friendships
• Opportunities for advancement in a successful and growing company

About Amica

Amica Mutual Insurance Company is America's oldest mutual insurer of automobiles. A direct national writer, Amica also offers home, marine and umbrella insurance. Amica Life Insurance Company, a wholly owned subsidiary, provides life insurance and retirement solutions. Amica was founded on the principles of creating peace of mind and building enduring relationships for and with our exceptionally loyal policyholders, a mission that thousands of employees in offices nationwide share and support.

Equal Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, family status, ethnicity, age, national origin, ancestry, physical and/or mental disability, mental condition, military status, genetic information or any other class protected by law. The Age Discrimination in Employment Act prohibits discrimination on the basis of age with respect to individuals who are 40 years of age or older. Employees are subject to the provisions of the Workers' Compensation Act.

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