E-3 Visa Data Science Lead Jobs
Data Science Lead roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in statistics, computer science, or a related field. Australian professionals can secure two-year renewable E-3 status with no lottery, making this one of the most direct paths to leading U.S. data teams.
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Get Access To All JobsRequisition ID
94081
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life’s AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled.
This role will support the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI, while also providing technical leadership through mentoring junior data scientists and interns, supporting their growth and development. You will work in close partnership with business product owners to champion new ideas that advance AI adoption, while helping measure, articulate, and communicate business value.
You will collaborate closely with business stakeholders, data scientists, engineers, and product and technology partners, contribute to hiring decisions for full-time employees, interns, and contractors, and continue to build expertise in enterprise AI practices, model lifecycle management, responsible AI principles, and New York Life’s technology ecosystem.
What You’ll Do:
- Lead the execution of AI/ML and GenAI initiatives in partnership with data, technology, product, and business teams to deliver scalable solutions
- Partner with tech and business lead to redesign and operationalize business workflows that embed the AI, GenAI and Agentic solutions.
- Own business-aligned OKRs for AI initiatives, ensuring efforts are outcome-driven, tied to enterprise value creation and supported through PI planning and roadmap development.
- Deliver all aspects of full Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
- Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partner with ML engineers for large-scale production deployment and scaling.
- Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
- Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
- Mentor and hire junior data scientists, interns and vendor resources to deliver key business initiatives.
- Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
- Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
- Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
- Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate.
- This role involves limited travel (<10%) to events and vendor meetings.
What You’ll Bring:
- Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
- 8+ years of experience applying data science and AI/ML to real-world business problems.
- 2+ years of experience working with business stakeholders for delivering on the key roadmap initiatives.
- Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.
- Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging).
- Solid experience with cloud platforms like AWS/GCP services (e.g., SageMaker, Bedrock, Vertex AI) and modern data ecosystems (Snowflake/Databricks).
- Working knowledge of LLMs, RAG architecture, and agentic frameworks, including safe automation design and evaluation practices.
- Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting, exposure to deep learning), feature engineering, regularization, cross-validation.
- Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Translate them into an overall AI roadmap.
- Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.
- Experience in Life Insurance industry or consumer finance domains is a plus.
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94081
Requisition ID
94081
Department
Tech Data AI Ventures
Job Function
Tech Data AI Ventures
Location
New York, New York, United States
Role Location Designation
Hybrid - 3 days per week
Role Overview
As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life’s AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled.
This role will support the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI, while also providing technical leadership through mentoring junior data scientists and interns, supporting their growth and development. You will work in close partnership with business product owners to champion new ideas that advance AI adoption, while helping measure, articulate, and communicate business value.
You will collaborate closely with business stakeholders, data scientists, engineers, and product and technology partners, contribute to hiring decisions for full-time employees, interns, and contractors, and continue to build expertise in enterprise AI practices, model lifecycle management, responsible AI principles, and New York Life’s technology ecosystem.
What You’ll Do:
- Lead the execution of AI/ML and GenAI initiatives in partnership with data, technology, product, and business teams to deliver scalable solutions
- Partner with tech and business lead to redesign and operationalize business workflows that embed the AI, GenAI and Agentic solutions.
- Own business-aligned OKRs for AI initiatives, ensuring efforts are outcome-driven, tied to enterprise value creation and supported through PI planning and roadmap development.
- Deliver all aspects of full Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring.
- Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partner with ML engineers for large-scale production deployment and scaling.
- Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
- Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
- Mentor and hire junior data scientists, interns and vendor resources to deliver key business initiatives.
- Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
- Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.
- Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
- Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate.
- This role involves limited travel (<10%) to events and vendor meetings.
What You’ll Bring:
- Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.
- 8+ years of experience applying data science and AI/ML to real-world business problems.
- 2+ years of experience working with business stakeholders for delivering on the key roadmap initiatives.
- Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.
- Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging).
- Solid experience with cloud platforms like AWS/GCP services (e.g., SageMaker, Bedrock, Vertex AI) and modern data ecosystems (Snowflake/Databricks).
- Working knowledge of LLMs, RAG architecture, and agentic frameworks, including safe automation design and evaluation practices.
- Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting, exposure to deep learning), feature engineering, regularization, cross-validation.
- Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Translate them into an overall AI roadmap.
- Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.
- Experience in Life Insurance industry or consumer finance domains is a plus.
Pay Transparency
Salary Range: $147,500-$211,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.
Job Requisition ID: 94081
See all 407+ E-3 Visa Data Science Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Science Lead Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data Science Lead
Frame your degree for specialty occupation
U.S. consular officers assess whether your Australian degree directly supports the Data Science Lead role. A three-year Australian bachelor's in statistics or computer science is generally accepted as equivalent to a U.S. four-year degree, but document the equivalency explicitly in your application package.
Target employers with active LCA filing history
Search the DOL's FLAG portal for companies that have recently filed Labor Condition Applications for data science roles. Employers with LCA history already understand the E-3 visa process, which shortens the sponsorship conversation significantly compared to first-time sponsors.
Address the specialty occupation standard early
Many hiring managers assume senior data roles are too generalist to qualify as specialty occupations. Lead with the fact that Data Science Lead positions require a specific technical degree, which clears the USCIS specialty occupation threshold and keeps sponsorship conversations moving forward.
Get the LCA certified before your consulate appointment
Your employer must file and receive DOL certification of the LCA before you can attend your E-3 visa interview. Coordinate this timeline with your hiring team early so a delayed LCA doesn't push back your start date. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end.
Prepare for nonimmigrant intent questions at interview
Unlike an H-1B visa, the E-3 is a nonimmigrant visa, so consular officers may probe your intent to return to Australia. Have clear, specific answers about ties to Australia ready, even if you plan to renew your E-3 indefinitely through ongoing employment.
Search verified E-3 sponsoring employers through Migrate Mate
Generic job searches won't filter for E-3 sponsorship willingness. Migrate Mate surfaces employers who actively sponsor E-3 visas for data roles, saving you from spending weeks on applications with companies that won't support Australian nationals.
E-3 Visa Data Science Lead: Frequently Asked Questions
How do I find Data Science Lead jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters for employers with active E-3 sponsorship history in data and analytics roles, so you're not guessing which companies will support Australian nationals. Searching broadly and hoping a recruiter raises the E-3 option rarely works at the lead level, where sponsorship decisions are made earlier in the hiring process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Science Lead role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as statistics, computer science, data science, or mathematics. Roles that accept any bachelor's degree regardless of field are harder to qualify. The job description should explicitly state a degree requirement tied to the technical nature of the position.
How does the E-3 compare to the H-1B for Data Science Lead roles?
The E-3 has no annual lottery and no cap on available visas, so you can apply year-round when you have a job offer, not just during a narrow April window. H-1B selection is random and the odds depend on overall registration volume. For Australian nationals, the E-3 is a faster, more predictable path to the same senior data leadership roles.
Can I switch employers on an E-3 while working as a Data Science Lead?
Yes, but the process starts fresh with the new employer. Your current E-3 is tied to your existing job offer and LCA, so your new employer must file a new LCA and you'll typically need to attend a new consulate appointment. There's no formal portability rule like the H-1B's 180-day AC21 protection, so plan the transition timeline carefully with your new team.