Data Science Director Jobs in USA with Visa Sponsorship
Data Science Director roles regularly come with H-1B visa, O-1 visa, and EB-1/EB-2 sponsorship because the position requires a specialized graduate degree and demonstrable research or leadership output that satisfies both specialty occupation and extraordinary ability standards. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsWho We Are:
Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
JOB MISSION:
The Data Science Team at New Balance is the center of excellence for applied data science across our global commercial businesses, creating value through actionable insights, scalable models, and AI-enabled decision support.
As the Data Science Manager, Forecasting & Optimization, you will lead New Balance’s planning-focused data science group and own high-value forecasting and optimization work that improves global planning, inventory, and supply chain decisions. This is a hands-on player/coach role where you will write production-quality code, develop and deploy models, lead and develop data scientists and contractors, partner with stakeholders, and ensure solutions are adopted, monitored, and improved.
MAJOR ACCOUNTABILITIES:
A successful candidate in this role will focus on three core areas:
Technical Excellence
- Develop, deploy, and improve forecasting and optimization models for demand planning, allocation, assortment, inventory, and related planning decisions.
- Write, review, and maintain high-quality Python and SQL code that can scale from experimentation into reliable production workflows.
- Connect model performance metrics such as accuracy, bias, stability, and service levels to business outcomes including sales, inventory productivity, margin, and efficiency.
Business Partnership & Product Delivery
- Partner with stakeholders to define priorities, align roadmaps, and translate business needs into scalable data science products.
- Document model logic, business rules, assumptions, and operating practices so solutions can scale and be supported over time.
- Work with ML engineering and MLOps partners to make models production-ready, monitored, explainable, and maintainable.
Team & Operational Leadership
- Manage and coach a small team (1-3) of data scientists while staying hands-on in model development, code reviews, technical design, and production delivery.
- Create repeatable standards for experimentation, validation, governance, documentation, stakeholder communication, and adoption measurement.
- Build a culture of technical excellence, pragmatic problem-solving, collaboration and stakeholder empathy, and continuous learning.
REQUIREMENTS FOR SUCCESS:
- 6+ years of experience in data science, forecasting, optimization, operations research, or a related field, including hands-on model development and deployment.
- 2+ years leading projects and/or guiding cross-functional delivery while remaining hands-on with technical work.
- 2+ years leading data scientists.
- Deep expertise with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science, ideally in a retail environment.
- Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets.
- Ability to partner with senior stakeholders, define roadmaps, influence priorities, communicate clearly, and drive adoption of analytical or AI-enabled solutions.
- Strong understanding of model evaluation, monitoring, retraining, governance, documentation, and lifecycle management.
- BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field; Master's or PhD preferred.
- Practical data science experience in retail, consumer products, or supply chain is preferred.
- Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms is preferred.
- Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools.
- Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies.
LOCATION:
Boston, MA Headquarters - (NB) Only
Pay Range: $138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)
Regular Associate Benefits
Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You’ll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it’s part of our culture.
Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount.
Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount.
Flexible Work Schedule
For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.
Equal Opportunity Employer
New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.
Who We Are:
Since 1906, New Balance has empowered people through sport and craftsmanship to create positive change in communities around the world. We innovate fearlessly, guided by our core values and driven by the belief that conventions were meant to be challenged. We foster a culture in which every associate feels welcomed and respected, where leaders and creatives are inspired to shape the world of tomorrow by taking bold action today.
JOB MISSION:
The Data Science Team at New Balance is the center of excellence for applied data science across our global commercial businesses, creating value through actionable insights, scalable models, and AI-enabled decision support.
As the Data Science Manager, Forecasting & Optimization, you will lead New Balance’s planning-focused data science group and own high-value forecasting and optimization work that improves global planning, inventory, and supply chain decisions. This is a hands-on player/coach role where you will write production-quality code, develop and deploy models, lead and develop data scientists and contractors, partner with stakeholders, and ensure solutions are adopted, monitored, and improved.
MAJOR ACCOUNTABILITIES:
A successful candidate in this role will focus on three core areas:
Technical Excellence
- Develop, deploy, and improve forecasting and optimization models for demand planning, allocation, assortment, inventory, and related planning decisions.
- Write, review, and maintain high-quality Python and SQL code that can scale from experimentation into reliable production workflows.
- Connect model performance metrics such as accuracy, bias, stability, and service levels to business outcomes including sales, inventory productivity, margin, and efficiency.
Business Partnership & Product Delivery
- Partner with stakeholders to define priorities, align roadmaps, and translate business needs into scalable data science products.
- Document model logic, business rules, assumptions, and operating practices so solutions can scale and be supported over time.
- Work with ML engineering and MLOps partners to make models production-ready, monitored, explainable, and maintainable.
Team & Operational Leadership
- Manage and coach a small team (1-3) of data scientists while staying hands-on in model development, code reviews, technical design, and production delivery.
- Create repeatable standards for experimentation, validation, governance, documentation, stakeholder communication, and adoption measurement.
- Build a culture of technical excellence, pragmatic problem-solving, collaboration and stakeholder empathy, and continuous learning.
REQUIREMENTS FOR SUCCESS:
- 6+ years of experience in data science, forecasting, optimization, operations research, or a related field, including hands-on model development and deployment.
- 2+ years leading projects and/or guiding cross-functional delivery while remaining hands-on with technical work.
- 2+ years leading data scientists.
- Deep expertise with forecasting models and optimization techniques across areas such as demand planning, inventory optimization, simulation, or decision science, ideally in a retail environment.
- Strong Python and SQL skills with experience building scalable, production-quality modeling workflows using large datasets.
- Ability to partner with senior stakeholders, define roadmaps, influence priorities, communicate clearly, and drive adoption of analytical or AI-enabled solutions.
- Strong understanding of model evaluation, monitoring, retraining, governance, documentation, and lifecycle management.
- BA/BS in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, Operations Research, or a related technical field; Master's or PhD preferred.
- Practical data science experience in retail, consumer products, or supply chain is preferred.
- Experience with Databricks, Snowflake, Azure, AWS, GCP or similar cloud platforms is preferred.
- Experience building production data science products, APIs, dashboards, optimization engines, or decision-support tools.
- Familiarity with Agile delivery, product ownership, roadmap planning, and measurable adoption strategies.
LOCATION:
Boston, MA Headquarters - (NB) Only
Pay Range: $138,500.00 - $173,000.00 - $207,500.00 Annual (actual base pay varying based upon, but not limited to, relevant experience, time in role, internal equity, geographic location, and more.)
Regular Associate Benefits
Our products are only as good as the people we hire, so we make sure to hire the best and treat them accordingly. New Balance offers a comprehensive traditional benefits package including three options for medical insurance as well as dental, vision, life insurance and 401K. We also proudly offer a slate of more nontraditional perks – opportunities like online learning and development courses, tuition reimbursement, $100 monthly student loan support and various mentorship programs – that encourage our associates to grow personally as they develop professionally. You’ll also enjoy a yearly $1,000 lifestyle reimbursement, 4 weeks of vacations, 12 holidays and generous parental leave, because work-life balance is more than just a buzzword – it’s part of our culture.
Temporary associates are provided three options for medical insurance as well as dental and vision insurance and an associate discount.
Part time associates are provided 401k, short term disability, a yearly $300 lifestyle reimbursement and an associate discount.
Flexible Work Schedule
For decades we have fostered a unique culture founded on our values with a particular focus on in-person teamwork and collaboration. Our North American hybrid model encourages rich in-person experiences, showcasing our commitment to teamwork and connection, while maintaining flexibility for associates. New Balance Associates currently work in office three days per week (Tuesday, Wednesday, and Thursday). Our offices are fully open, and amenities are available across our North American office locations. To continue our focus on hybrid work we have introduced “Work from Anywhere” (WFA) for four weeks per calendar year. This model will help us enhance our culture while continuing to maintain elements of flexibility.
Equal Opportunity Employer
New Balance provides equal opportunities for all current and prospective associates to ensure that employment, training, compensation, transfer, promotion and other terms, conditions and privileges of employment are provided without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, handicap, genetic information and/or status as an Armed Forces service medal veteran, recently separated veteran, qualified disabled veteran or other protected veteran, or any other protected status.
See all 4,688+ Data Science Director Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Director roles.
Get Access To All JobsTips for Finding Data Science Director Jobs
Lead with publications and patents
Directors with published research, patents, or conference presentations have a measurable edge in O-1A and EB-1A petitions. Compile a clear record of citations and recognitions before approaching employers about sponsorship.
Target companies with established sponsorship pipelines
Large technology, finance, and healthcare organizations sponsor Data Science Directors regularly and have internal immigration counsel. These employers move faster and make fewer procedural errors than companies sponsoring for the first time.
Align your degree field to the role description
H-1B approval for Director-level data science roles depends on matching your degree field to the job. Statistics, computer science, mathematics, and applied machine learning degrees map cleanly. Unrelated fields require strong experience equivalency documentation.
Request a National Interest Waiver evaluation early
Directors whose work influences public health, infrastructure, or national security outcomes may qualify for an NIW under EB-2. Ask an immigration attorney to assess eligibility before accepting an offer that assumes standard PERM sponsorship.
Document your supervisory and strategic scope
USCIS distinguishes hands-on analyst roles from director-level positions by scope of authority. Offer letters and job descriptions should specify budget control, team size, and organizational reporting structure to strengthen the specialty occupation argument.
Plan around H-1B cap timing if you are not cap-exempt
If you are outside the U.S. or on an expiring non-cap-exempt status, H-1B registration opens in March for an October start. Cap-exempt employers, including universities and nonprofits, can file at any time.
Frequently Asked Questions
Do employers commonly sponsor H-1B visas for Data Science Director roles?
Yes. Data Science Director is consistently among the most sponsored H-1B visa job titles. The role qualifies as a specialty occupation because it requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or mathematics, and most employers expect a master's or PhD. Large technology and financial services companies file hundreds of petitions annually for this title.
Can I qualify for an O-1A visa as a Data Science Director?
Many Data Science Directors meet O-1A criteria without realizing it. Published research with citations, peer review work, conference presentations, patents, or a record of commanding above-industry-average compensation can each satisfy individual O-1A criteria. You need to meet at least three of eight categories. An O-1A has no annual cap and no lottery, making it a strong alternative if you missed the H-1B cycle.
What degree do I need for a Data Science Director H-1B petition to be approved?
USCIS requires a bachelor's degree or higher in a field directly related to the job. For Data Science Director, computer science, statistics, applied mathematics, and data engineering are the clearest fits. Degrees in business or economics may work if paired with significant quantitative coursework. A three-year Australian or Indian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree when combined with relevant experience.
How do I find Data Science Director jobs that offer visa sponsorship?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse Data Science Director openings from employers already willing to sponsor H-1B or other work visas. This removes the guesswork of cold-applying and finding out late in the process that a company won't support a petition.
Is PERM labor certification required for a Data Science Director green card, or are there faster paths?
PERM is the standard EB-2 or EB-3 route and can take two to four years before a visa number becomes current, longer for Indian and Chinese nationals. Directors with substantial peer-recognized contributions may skip PERM entirely through the EB-1A extraordinary ability category or the EB-2 National Interest Waiver, both of which allow self-petition without employer involvement. An immigration attorney can assess which path fits your publication and leadership record.
What is the prevailing wage requirement for sponsored Data Science Director jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.