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Data Scientist in Lincoln, RI at Amica

Date Posted: 3/15/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Lincoln, RI
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    3/15/2019

Job Description

Location: 100 Amica Way, Lincoln, RI 02865

Are you looking for a career in a growing industry with new products, new markets and new technology?

Our Lincoln, Rhode Island, office is seeking an Associate Modeling Research Analyst (Data Scientist) to help further our data science and analytics capabilities. The Claims Business Intelligence team’s mission is to provide current, comprehensive, and accurate information empowering Amica to make the best business decisions possible. The selected candidate will combine insightful data analysis and algorithm development with exceptional communication skills in order to drive business value from structured and unstructured data. Will be responsible for shaping and executing analyses, and preparing clear and concise presentations.

The 37.5 hour schedule is Monday through Friday and is not a remote position.

Job Functions and Responsibilities:
• Use machine learning, hypothesis testing, and other data science techniques to develop solutions and positively impact the Company
• Determine requirements, evaluating analytical approaches, and producing predictive models using appropriate software
• Create useful insights and compelling stories from structured and unstructured data
• Communicate and document statistical analyses and methods in a logical and understandable manner for non-analytical business users and executive decision makers
• Provide technical leadership, mentoring, and training to staff in statistical modeling and data analyses
• Assist with supervision of all processes involved with the development of multivariate models
• Collaborate on the development and planning of analytic projects in response to business needs
• Contribute to the development of data models for mining production databases
• Participate in development of the analytics roadmap by evaluating and incorporating emerging standards, best practices, and new technologies
• Make recommendations on products and services to support structured and unstructured data mining
• Demonstrate strong business acumen and understanding of insurance concepts
• Ensure accuracy of results and analytic methods

Job Requirements:
• Bachelor’s degree in Statistics, Mathematics, Economics or similar discipline (Master's degree preferred)
• 3+ years recent, hands-on experience working with data mining tools (SAS, SPSS, R Studio, Python, or an equivalent analytics package)
• Proficiency with logistic regression, time series, neural networks, forecasting, optimization, and other predictive modeling techniques
• Expertise in text and sentiment analysis
• Experience manipulating large amounts of data using SQL
• Exceptional communication and presentation skills
• Ability to translate business needs into technical requirements
• Superior analytical, mathematical, and problem solving skills
• Ability to work with a reasonable degree of independence and with a team
• Effectively manage time to handle competing high priority projects
• Experience using Business Intelligence tools (MicroStrategy) and creating data visualizations is a plus
• Knowledge of Claims Processing systems (Guidewire ClaimCenter) is a plus

Benefits Include:
• Paid vacation, holidays and sick days
• Generous leave programs, including paid parental bonding leave
• Medical, dental, vision coverage, short- and long-term disability, and life insurance
• Generous employer contribution to 401(k) retirement plan and pension plan
• Opportunities for advancement in a successful and growing company

Equal Opportunity Policy: All qualified applicants who are authorized to work in the United States will receive consideration for employment without regard to race, religion, sex, color, national origin, ethnicity, age, genetic information, disability or sexual orientation. 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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