Assistant Director, Data Science

• Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
• Designs develops and deploys Natural Language Processing (NLP) models and algorithms such as transformers encoder and decoder models in projects.
• Follows the latest models algorithms and trends in NLP field.
• Explores and applies Computer vision algorithms in insurance domain.
• Applies machine learning models to support risk selection and pricing decisions in insurance.
• Identifies and tests hypotheses ensuring statistical significance as part of building and developing 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.
• Documents and presents work progress findings and potential chances to both technical and non-technical audience.
• Enables the business to make clear trade-offs between and among choices with a reasonable view into likely outcomes.
• Responsible for part of components of highly complex projects; Guide others as a technical consultant for the team.
• Customizes analytic solutions to specific client needs.
• Responsible for smaller components of projects of moderate-to-high complexity.
• Regularly engages with the data science community and participates in cross-functional working groups.
• Telecommuting permitted up to 100%.

Employer will accept a Ph.D. degree (or foreign equivalent) in a Mathematics Statistics Physics or a related field and two (2) years of experience in the job offered or in an Assistant Director Data Science -related occupation.

Position requires demonstrable experience in the following which can be gained in a professional or academic setting:

• Demonstrated knowledge with deep learning modeling and programming including PyTorch and Tensorflow.
• Predictive modeling data science techniques machine learning models and statistical methods.
• Deep Learning techniques including deep neural networks (DNN) and their applications.
• Python and R programming through hands-on experience.
• Computer Vision modeling expertise.
• Demonstrated advanced knowledge of Natural Language Processing including CNN RNN LSTM Transformers and Large language models.
• Machine Learning expertise in building models including GLMs Logistic Regression Tweedie regression and XGBoost.
• Tableau and Power BI.
• MS Excel and its advanced features including Pivot tables Lookups Macros and MS PowerPoint.
• Telecommuting permitted up to 100%.

REFER TO: To apply please visit select Search Jobs enter job requisition # in the Job ID or Keywords field and submit resume. Alternatively you may apply by submitting a resume via e-mail to Reference requisition number in subject of e-mail.

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: 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 veterans status pregnancy genetic information or on any basis prohibited by federal state or local law.

Fair Chance Notices

• California
• Los Angeles Incorporated
• Los Angeles Unincorporated
• Philadelphia
• San Francisco