Remote Offered Salary :

Analyst II, Data Science

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Job Description

Salary

$76,981 – $152,000 a year

Full Job Description

  • Collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making
  • Utilize data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions
  • Apply knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions
  • Identify and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business application; translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
  • Enable the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes
  • Customize analytic solutions to specific client needs; responsible for smaller components of projects of moderate-to-high complexity
  • Regularly engage with the data science community and participate in crossfunctional working groups.
  • Travel required up to 10%. Telecommuting permitted up to 40%.

The position requires a Master’s degree, or foreign equivalent, in Statistical Practice, Statistics, Mathematics or a related field plus two (2) years of experience in the job offered or a related field. Position also requires demonstrable experience with each of the following:

  • Predictive analytics techniques and statistical diagnostics of models including but not limited to GLM, Support Vector Machines, Random Forest, and Gradient Boosting Machines
  • Applying foundational knowledge of predictive toolset
  • Serving as an expert resource for tool development
  • Proficient with statistical programming languages (Python and R)
  • Designing and managing market experiments and pilots to test hypotheses
  • Retrieving, mining and analyzing high-volume, high-dimensionality data from various data sources including SAS, and Microsoft SQL Server.
  • Travel required up to 10%. Telecommuting permitted up to 40%.

To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2021-37861 in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.

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-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.

Master’s Degree
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