Hybrid Data Scientist - Remote Data Scientist - Remote

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Description

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

50 Amica Way, Lincoln, RI 02865

Thank you for considering Amica as part of your career journey, where your future is our business.

At Amica, we pride ourselves on being an inclusive and supportive environment. We all work together to accomplish the common goal of providing the best experience for our customers. We believe in trust and fostering lasting relationships for our customers and employees! We're focused on creating a workplace that works for all. We'll continue to provide training, guidance, and resources to make Amica a true place of belonging for all employees. Want to learn more about our commitment to diversity, equity, and inclusion? Visit our DEI page to read about it!"

As a mutual company, our people are our priority. We seek differences of opinion, life experience and perspective to represent the diversity of our policyholders and achieve the best possible outcomes. Our office located in Lincoln, RI is seeking a Data Scientist for our Enterprise Solutions - Data-Digital-Inno team.

This job can be done remotely anywhere in the US.

This role does not currently offer employment visa sponsorship.

Salary:

This is a full-time position based on a 37.5-hour work week. The starting annual salary is between $90,403 - $140,000, based on level of previous experience and/or applicable licenses within the property and casualty industry. 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 December 8th, 2024.

Position Summary:

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.

Requirements:

• 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
• Writing SQL queries including Common Table Expressions (CTEs), window functions, and aggregate functions to perform data transformation and analysis
• Using data to identify and visualize trends, patterns, or correlations in a large dataset
• Using Scikit Learn or TensorFlow for model building in a live production environment
• 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
  
  

Total Rewards:

• Medical, dental, vision coverage, short- and long-term disability, and life insurance
• Paid Vacation - you will receive at least 13 vacation days in the first 12 months, amounts could be greater depending on the role. While able to use prior to accrual, vacation time will accrue monthly.
• Holidays - 14 paid holidays observed
• 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. Additionally, annual 3% non-elective employer contribution
• Annual Success Sharing Plan - Paid to eligible employees if company meets or exceeds combined ratio, growth and/or service goals
• Generous leave programs, including paid parental bonding leave
• Student Loan Repayment and Tuition Reimbursement programs
• Generous fitness and wellness reimbursement
• Employee community involvement
• Strong relationships, lifelong friendships
• Opportunities for advancement in a successful and growing company
  
  

Amica conducts background checks which includes a review of criminal, educational, employment and social media histories, and if the role involves use of a company vehicle, a motor vehicle or driving history report. The background check will not be initiated until after a conditional offer of employment is made and the candidate accepts the offer. Qualified applicants with arrest or conviction records will be considered for employment.

The safety and security of our employees and our customers is a top priority. Employees may have access to employees' and customers' personal and financial information in order to perform their job duties. Candidates with a criminal history that imposes a direct or indirect threat to our employees' or customers' physical, mental or financial well-being may result in the withdrawal of the conditional offer of employment.

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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