Demo

Data Scientist III

MAPFRE Insurance
Boston, MA Full Time
POSTED ON 2/5/2025
AVAILABLE BEFORE 4/28/2025

Data Scientist III

Date : Jan 17, 2025

Location : Boston, MA, US

Company : MAPFRE

At MAPFRE, our commitment to care is not just our purpose; it’s the driving force behind everything we do. We care about the things that resonate with the needs of our employees, our customers and the community.

For Employees : We cultivate an inspiring and dynamic workplace where collaboration and innovation fuel the success of our high-performing teams.

For Customers : In addition to being Massachusetts’ #1 home and auto insurer, we provide unmatched peace of mind to our customers across the U.S.

For the Community : Our culture of care extends to impactful community engagement and environmental initiatives locally and globally.

This is who we are at MAPFRE, and we invite you to be part of a movement that cares deeply and acts boldly. Together, we make a difference.

We are looking for a Data Scientist with 8 years plus experience in the insurance industry. The role is Hybrid in Boston MA or Webster MA, 3 days in the office and 2 day remote.

Primary Responsibilities

Perform tasks without appreciable direction, and exercise considerable latitude in determining objectives and approaches to assignment, collaborating with the rest of the team

Aid the decision making process of business areas by building actionable modeling results

Communicate project results effectively within and outside AA by developing and automating reports complex model reports, showing their alignment with the company strategy.

Present model results and lift / efficacy analyses to senior stakeholders

Apply knowledge to determine solutions to very complex problems with minimal direction, and use research and analysis to develop innovative and practical complex model solutions which are consistent with organizational objectives

Conduct research around the design, implementation and validation of innovative algorithms in order to analyze diverse data sources that will enable desired business outcomes and successfully develop the use cases

Accountable for long term ownership of models developed and evolution of those models, proposing improvements to the business areas.

Coordinate and obtain the economic impact results with the business teams (aligned with KPIs), developing and automating reports and dashboards.

Work with sparse, high dimensional, and time series data

Apply predictive modeling skills & insurance solid knowledge to design & develop analytic solutions for multiple business areas reflecting corporate goals, experience and current market conditions

Perform model validation to determine model lift and accuracy, test for reliability and stability of models, and use multiple measures to select final model, selecting the ones that can be conveyed to the stakeholders

Design and create complex processes and tools to monitor, analyze and maintain model performance

Provide guidance and training to less experienced staff as needed

Provide expertise around adopting best in class processes and techniques for AA modeling and statistical analysis

Minimum Education / Experience

Bachelor’s Degree

  • with 8 years experience OR Master's Degree with 5 years relevant experience

Degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or a related quantitative analytical field.

Thank you for considering MAPFRE Insurance as part of your career journey.

We're proud to be rated "A" (Excellent) by A.M. Best Company. We offer property and casualty insurance, working with over 3,000 independent agents and brokers in 11 states.

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com .

We are proud to be an equal opportunity employer.

Nearest Major Market : Boston

Job Segment : Research Scientist, Recruiting, Database, Scientific, Statistics, Science, Human Resources, Technology, Engineering, Data

Apply now »

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