Green Card Data Science Lead Jobs
Data Science Lead roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires your employer to document that no equally qualified U.S. worker is available. Most positions require a master's degree or equivalent, making EB-2 the common pathway. Sponsorship timelines vary significantly by country of birth.
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The insurance industry is undergoing tremendous change and Liberty Mutual, a diversified global insurer and third largest property and casualty insurer in the US, is leading the charge with its innovative products and customer-centric approach within both its personal and commercial units. Liberty Mutual’s United States Retail Markets is seeking an Assistant Director, Data Science in the Risk Analytics Reserve Modeling team to develop claim-level models supporting both personal and small commercial lines of business.
In this role, you will work to continue advancing our understanding of and ability to predict loss and loss adjustments expenses through new data sources, tools, analytics, and advanced modeling techniques. This person will also work directly with our business stakeholders in supporting the implementation of our work into the business, including understanding the business needs and the best ways to continually improve our models and analytics. This position requires candidates who are intellectually curious, and love to support our business partners.
Responsibilities:
- Collaborate with other business partners to develop appropriate statistical approaches and tools that will drive strategic decision making related to Reserving, trends, and other challenging problems central to our business.
- Identify new strategic opportunities for the use of theoretical methods and tools.
- Apply forward looking thinking to inform methodological advancement.
- Drive innovation in the application and development of tools and practices.
- Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
- Identify and tests hypotheses, ensuring statistical significance, and build predictive models for business applications.
- 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 tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Responsible for larger components of highly complex projects.
- Guide aspects of project design as a technical consultant for the team.
- Customize analytic solutions to specific client needs.
- Regularly engage with the data science community and leads cross functional working groups.
Preferred experience includes:
- Strong foundation in Data Science and Machine Learning.
- Expert analytical/problem solving and research skills.
- Proficiency in Python, SAS and/or SQL.
- Hands-on experience with large analysis datasets and Enterprise-scale database systems.
- Ability to perform high-level work both independently and collaboratively as a project team member or leader.
- Strong verbal and written communication skills, and ability to exchange ideas and convey complex information clearly and concisely.
- Ability to use results of analysis to persuade team or department management to a particular course of action.
- Knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Claims, Pricing, Underwriting, and Finance desirable.
- Ability to work ET hours.
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Expert knowledge of predictive toolset; reflects as expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Networks with key contacts outside own area of expertise. 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 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, 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.
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
Description
The insurance industry is undergoing tremendous change and Liberty Mutual, a diversified global insurer and third largest property and casualty insurer in the US, is leading the charge with its innovative products and customer-centric approach within both its personal and commercial units. Liberty Mutual’s United States Retail Markets is seeking an Assistant Director, Data Science in the Risk Analytics Reserve Modeling team to develop claim-level models supporting both personal and small commercial lines of business.
In this role, you will work to continue advancing our understanding of and ability to predict loss and loss adjustments expenses through new data sources, tools, analytics, and advanced modeling techniques. This person will also work directly with our business stakeholders in supporting the implementation of our work into the business, including understanding the business needs and the best ways to continually improve our models and analytics. This position requires candidates who are intellectually curious, and love to support our business partners.
Responsibilities:
- Collaborate with other business partners to develop appropriate statistical approaches and tools that will drive strategic decision making related to Reserving, trends, and other challenging problems central to our business.
- Identify new strategic opportunities for the use of theoretical methods and tools.
- Apply forward looking thinking to inform methodological advancement.
- Drive innovation in the application and development of tools and practices.
- Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
- Identify and tests hypotheses, ensuring statistical significance, and build predictive models for business applications.
- 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 tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Responsible for larger components of highly complex projects.
- Guide aspects of project design as a technical consultant for the team.
- Customize analytic solutions to specific client needs.
- Regularly engage with the data science community and leads cross functional working groups.
Preferred experience includes:
- Strong foundation in Data Science and Machine Learning.
- Expert analytical/problem solving and research skills.
- Proficiency in Python, SAS and/or SQL.
- Hands-on experience with large analysis datasets and Enterprise-scale database systems.
- Ability to perform high-level work both independently and collaboratively as a project team member or leader.
- Strong verbal and written communication skills, and ability to exchange ideas and convey complex information clearly and concisely.
- Ability to use results of analysis to persuade team or department management to a particular course of action.
- Knowledge of insurance principles, underwriting and ratemaking concepts and the various functions of an insurance organization, including Claims, Pricing, Underwriting, and Finance desirable.
- Ability to work ET hours.
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Expert knowledge of predictive toolset; reflects as expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Networks with key contacts outside own area of expertise. 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 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, 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.
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
See all 211+ Green Card Data Science Lead Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Data Science Lead
Document your advanced degree equivalency early
If your highest credential is a three-year bachelor's degree plus graduate coursework, get a credential evaluation before job searching. EB-2 PERM petitions require proof of an advanced degree, and gaps here stall the I-140 filing after an offer is already in hand.
Target employers with PERM filing history
Search DOL OFLC disclosure data to identify companies that have filed PERM applications for data science roles specifically, not just tech roles broadly. Employers already familiar with the process move faster and make fewer errors during the prevailing wage determination stage.
Use Migrate Mate to filter green-card-sponsoring employers
Filter your Data Science Lead job search on Migrate Mate to surface employers with active EB-2 and EB-3 sponsorship history. This cuts the time spent on companies that only sponsor H-1B visa and have no PERM infrastructure.
Clarify the SOC code before your offer letter is signed
Data Science Lead roles can be classified under multiple Standard Occupational Classification codes, which directly affects the prevailing wage DOL sets during PERM. Ask your recruiter which SOC code the job description will use and verify it against the OFLC Wage Search before accepting.
Negotiate for PERM filing within your first year
Many employers delay PERM until they're confident in your performance, but early filing protects your priority date. For applicants born in India or China, locking in an earlier priority date can mean years of difference in green card wait times at the EB-2 or EB-3 preference level.
Cross-check your job duties against O*NET before PERM advertising begins
PERM job postings must accurately reflect the minimum requirements for the role. Review the O*NET occupation profile for data science positions to ensure your employer's posted requirements align with the duties you'll actually perform, reducing the risk of a USCIS audit after filing.
Green Card Data Science Lead: Frequently Asked Questions
Does a Data Science Lead role typically qualify for EB-2 or EB-3 sponsorship?
Most Data Science Lead positions qualify for EB-2 because they require a master's degree or a bachelor's degree plus substantial progressive experience in data science or a closely related field. If the employer is willing to set the minimum requirement at a bachelor's degree, EB-3 is also viable and may move faster for applicants from countries with shorter EB-3 backlogs.
How does green card sponsorship differ from H-1B sponsorship for this role?
H-1B sponsorship is temporary and subject to an annual lottery, while EB-2 and EB-3 PERM sponsorship leads to permanent residency with no lottery. The PERM process requires your employer to run a formal recruitment campaign before USCIS filing, which typically adds six to twelve months to the overall timeline, but the outcome is a path to a green card rather than a renewable nonimmigrant status.
How long does the full green card process take for a Data Science Lead hired on PERM?
From PERM filing through I-140 approval and adjustment of status, the process typically takes two to four years for applicants born outside India and China. For Indian and Chinese nationals, employment-based backlogs at the EB-2 and EB-3 levels can extend the total wait significantly longer. Your priority date, established when PERM is filed, determines your place in the queue.
What documentation should I prepare before a Data Science Lead employer starts my PERM case?
Gather certified copies of all academic credentials, including transcripts and degree certificates, along with a detailed employment history showing progressive experience in data science. If you hold a three-year degree, obtain a credential evaluation from a NACES-approved evaluator early. USCIS may audit the I-140 petition, so your documentation needs to support every minimum requirement listed in the PERM job posting.
Where can I find Data Science Lead jobs where the employer already sponsors green cards?
Use Migrate Mate to search specifically for Data Science Lead roles where employers have a documented history of EB-2 and EB-3 PERM sponsorship. Searching broadly and then asking recruiters about green card sponsorship late in the process wastes time on companies that only offer H-1B support and have no PERM workflow in place.