Senior Analyst - Data Science
Description
Join Liberty Mutual as an Analyst II, Data Science on the Service Data Science team within US Retail Markets Insights & Solutions organization and help shape how millions of customers and agents interact with insurance.
You’ll develop models and collaborate closely with product, operations, and engineering to deploy models and insights that increase retention, unlock cross-sell value, and boost operational productivity through customer segmentation, call center routing, agent assist recommendation, and more. This is a hands-on role working with large, diverse datasets and modern tools; it’s a great opportunity to learn, grow, and see your work drive measurable business outcomes. Examples include:
Predictive modeling and segmentation —Build classification and regression models to predict customer intents, behaviors, and outcomes (e.g., logistic regression, gradient boosted trees etc.).
Uplift and causal inference — Design experiments and estimate the causal effect of interventions (e.g. T Learner, DoubleML, instrumental variables, propensity score methods etc.).
Simulation and decision analysis to quantify the expected cost/benefit.
**This role may have in-office requirements based on candidate location**
**Level of position offered will be based on skills and experience at manager discretion**
Responsibilities:
Manipulate large data sets and create predictive models (including data ingestion, feature engineering, validation, explainability, and production deployment, in partnership with product, operations, and engineering teams)
Create and test hypotheses, design A/B experimentation, analyze results and statistical significance
Conduct model performance evaluation or valuation sizing
Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results
Communicate quantitative analyses into easy-to-understand stories and actionable insights and recommendations to stakeholders
Coach and mentor junior data scientists and foster a culture of continuous learning
Regularly engage with the data science community, share knowledge, learn best practices and participate in cross functional working groups
Qualifications
Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
Advance knowledge of predictive toolset; expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Has a value-driven perspective with regard to understanding of work context and impact.
Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.
About Us
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. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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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Senior Analyst - Data Science
Description
Join Liberty Mutual as an Analyst II, Data Science on the Service Data Science team within US Retail Markets Insights & Solutions organization and help shape how millions of customers and agents interact with insurance.
You’ll develop models and collaborate closely with product, operations, and engineering to deploy models and insights that increase retention, unlock cross-sell value, and boost operational productivity through customer segmentation, call center routing, agent assist recommendation, and more. This is a hands-on role working with large, diverse datasets and modern tools; it’s a great opportunity to learn, grow, and see your work drive measurable business outcomes. Examples include:
Predictive modeling and segmentation —Build classification and regression models to predict customer intents, behaviors, and outcomes (e.g., logistic regression, gradient boosted trees etc.).
Uplift and causal inference — Design experiments and estimate the causal effect of interventions (e.g. T Learner, DoubleML, instrumental variables, propensity score methods etc.).
Simulation and decision analysis to quantify the expected cost/benefit.
**This role may have in-office requirements based on candidate location**
**Level of position offered will be based on skills and experience at manager discretion**
Responsibilities:
Manipulate large data sets and create predictive models (including data ingestion, feature engineering, validation, explainability, and production deployment, in partnership with product, operations, and engineering teams)
Create and test hypotheses, design A/B experimentation, analyze results and statistical significance
Conduct model performance evaluation or valuation sizing
Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results
Communicate quantitative analyses into easy-to-understand stories and actionable insights and recommendations to stakeholders
Coach and mentor junior data scientists and foster a culture of continuous learning
Regularly engage with the data science community, share knowledge, learn best practices and participate in cross functional working groups
Qualifications
Solid knowledge of predictive analytics techniques and statistical diagnostics of models.
Advance knowledge of predictive toolset; expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Has a value-driven perspective with regard to understanding of work context and impact.
Competencies typically acquired through 0-1 yrs. of related experience with a Ph.D., a minimum of 2-3 yrs. of experience with a master’s degree, a minimum of 4+ yrs. of experience with a bachelor’s degree.
About Us
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. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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