Data Science Lead Visa Sponsorship Jobs in Texas

Description

USRM Distribution & Marketing Data Science is hiring a Senior Director I, Data Science to lead our Independent Agency Data Science team. This role will span two critical areas of work. First, it will oversee the expansion, improvement, and maintenance of our mature Quote Efficiency portfolio. This suite of models helps make Liberty Mutual a brand that independent agents love to sell, by making us appear accurately and attractively in comparative raters and making our proprietary quoting and binding systems easy to use while manifesting our underwriting appetite in specific, actionable ways. Second, this role will direct emerging opportunities for IA Data Science, including models to make our Small Commercial products easier for agents to sell, models that help our Territory Managers use their time optimally, and models that influence the behavior of roughly 100,000 individual producers across our appointed independent agencies.

Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.

Responsibilities include:

• Collaborating with analytics, technology, experience, strategy, and marketing teams focused on the independent agency channel, to help us be the best insurer for independent agents in the industry.
• Leading a team of 7-10 data scientists working on both ML and AI problems: training models, orchestrating agents, packaging code for deployment, and evaluating and monitoring our AI/ML products’ performance.
• Leading and developing your team by setting clear goals and expectations, motivating and inspiring high performance, leveraging a diversity of perspectives, and supporting the people on your team as they grow and develop.

Preferred skills and experiences:

• Deep knowledge of the data science lifecycle, from identifying and framing business opportunities, through training and deploying models, to evaluating and continually monitoring in-market performance.
• Experience collaborating with stakeholders who are not data scientists themselves, in complex business environments, to understand which problems need solving, design solutions, and bring them to market.
• Prior experience leading people.

Additional skills and experiences that are nice to have:

• Hands-on data science and/or ML engineering technical skills.
• Knowledge of the independent agency distribution channel.

Qualifications

- Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset, to include highly technical tools.
- Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
- Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts up to and including SBU/Corp Dept leadership.
- Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
- Ability to give effective training and presentations to all levels of the organization.
- Interacts with senior executives.
- Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
- Deep knowledge of business drivers and market context.
- Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
- Utilizes significant business experience and judgment to direct work of unit and communicate results.
- Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 8 years of relevant experience or may be acquired through a Bachelor’s degree (scientific field of study) and 10 years of relevant experience.
- Insurance or financial services industry experience preferred.

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.

At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.

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://www.libertymutualgroup.com/about-lm/careers/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

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