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Job Location: Remote
Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level.
The US Claims Data Science team is looking for an MLOps expert to help us streamline model development, deployment, and monitoring for our growing portfolio of models.
Data scientists will find boundless opportunities to help our business in claims: we use computer vision, natural language processing, network models, and cutting-edge technology to bring AI solutions and other predictive models to our claims operations, which have over 7,000 employees and spend roughly 70% of premium on losses and loss adjustment expenses.
Of course, MLOps in this space is complex: to deliver models to market we partner closely with data engineers, product owners, software developers and architects, an in-house incubator, and more. This role will work closely with the modelers on the data science team and thought-leaders on these partner teams to ensure efficient processes and smooth handoffs.
In addition to the responsibilities below, you will:
- Work with data engineers and model deployment engineers to ensure that features used in model training will be available in production. Potentially guide our approach to populating a robust feature store.
- Collaborate with modelers within the data science team to ensure that scoring code is as close to deployable as possible before handing-off to the deployment team. Potentially help modelers deploy code themselves.
- Advise on tools and approaches for model monitoring, helping us monitor our portfolio as efficiently as possible.
- Stay abreast of new developments in the rapidly-evolving space of MLOps and help the team adopt new tools and processes as appropriate.
- Develop strong collaborative relationships with data engineers, product owners, and architects.
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.
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of MLOps; acts as expert resource for the rest of the team.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- 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 knowledge of MLOps and 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, Computer Science, Software Engineering, Data Science, 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.
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.
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