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Assistant Director, Data Science - Remote

Liberty Mutual Strategic Ventures

Liberty Mutual Strategic Ventures

Data Science
Boston, MA, USA · United States · Seattle, WA, USA · Remote
Posted on Saturday, July 6, 2024

Assistant Director, Data Science - Remote

Job Locations US-MA-Boston | US-Remote | US-WA-Seattle
ID
2024-64495
Position Type
Full-Time
Minimum Salary
USD $116,700.00/Yr.
Maximum Salary
USD $218,300.00/Yr.
Typical Starting Salary
$159,300.00 - $172,200.00
Flexible Time Off Annual Accrual - days
20
Application Deadline
7/12/2024

Pay Philosophy

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description

**This position may have in-office requirements depending on candidate location.**

**Click HERE to watch an informational video from the hiring manager**

The US Data Science organization within US Retail Market is hiring an individual contributor for its Data Science Excellence-Complex Components group. Limit & Deductible (L&D) pricing is a challenging area where industry sophistication lags, creating an opportunity for us to differentiate ourselves from top competitors. This role will serve as the lead analyst helping to produce L&D factors for use in our next-gen pricing programs and providing guidance to key stakeholders in state management & delivery. Knowledge of basic actuarial techniques (Layered Average Severity, Loss Elimination Ratio) used in L&D development is a plus. The Individual Contributor role will be part of the Special Projects team within Complex Components reporting to the Special Projects manager.

Responsibilities:

  • Researches and develops predictive analytic tools.
  • Leverages knowledge to create/design solutions for business needs.
  • Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
  • Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application.
  • Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
  • Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
  • Customizes analytic solutions to specific client needs.
  • Responsible for larger components of projects of moderate to high complexity.
  • Guides aspects of project design as a technical consultant for the team.
  • Regularly engages with the data science community and participates in cross functional working groups.

Qualifications

  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Expert knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
  • Ability to give effective training and presentations to peers, management and less senior business leaders.
  • Ability to use results of analysis to persuade team or department management to a particular course of action.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.

About Us

**This position may have in-office requirements depending on candidate location.**

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That’s why we provide an environment focused on openness, inclusion, trust and respect. Here, you’ll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG’s Insider Pro and Computerworld’s 2020 list. For many years running, we have been named by Forbes as one of America’s Best Employers for Women and one of America’s Best Employers for New Graduates—as well as one of America’s Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-equity-inclusion/

We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits

Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.

Fair Chance Notices

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