H-1B1 Singapore Visa Data Science Manager Jobs
Data Science Manager roles qualify for H-1B1 Singapore visa sponsorship because they require a bachelor's degree or higher in a directly related field, satisfying the specialty occupation standard. Singapore nationals skip the H-1B lottery and the 5,400-visa annual cap rarely fills, so your timeline to a U.S. offer depends on employer readiness, not luck.
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As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that drive measurable business impact across Walmart. You will partner closely with product, engineering, operations, and business leaders to identify opportunities, develop data-driven strategies, and deploy scalable solutions that improve customer experiences, operational efficiency, and business performance.
You will serve as both a strategic thought partner and technical leader, translating complex business challenges into analytical frameworks and innovative solutions while developing high-performing teams.
What You'll Do
Lead High-Impact Data Science Initiatives
- Define and execute the data science roadmap aligned to business priorities and organizational goals.
- Partner with cross-functional stakeholders to identify opportunities where data, machine learning, and AI can create measurable value.
- Translate ambiguous business challenges into structured analytical problems and actionable solutions.
- Establish success metrics, quantify business impact, and communicate results to executive leadership.
- Drive experimentation, measurement, and continuous improvement through test-and-learn frameworks.
Develop Advanced Analytics and Machine Learning Solutions
- Lead the design, development, validation, and deployment of statistical, machine learning, and AI models at enterprise scale.
- Guide teams in applying advanced techniques including predictive modeling, optimization, experimentation, forecasting, recommendation systems, natural language processing, and emerging AI technologies.
- Oversee feature engineering, model selection, model evaluation, and production monitoring to ensure performance, reliability, and scalability.
- Champion best practices in model governance, validation, explainability, and responsible AI.
Drive Technical Excellence
- Establish standards for data science, model development, coding practices, experimentation, and deployment.
- Ensure solutions are scalable, maintainable, and aligned with enterprise architecture and engineering standards.
- Partner with engineering teams to operationalize machine learning solutions and enable continuous model improvement.
- Stay current on industry trends and emerging technologies, identifying opportunities to leverage new capabilities across the organization.
Deliver Insights Through Data Storytelling
- Translate complex analytical findings into compelling narratives tailored to technical and non-technical audiences.
- Influence strategic decisions through clear communication, visualization, and executive-level presentations.
- Enable stakeholders to make informed decisions by providing actionable insights and recommendations.
- Foster a culture of data-driven decision-making across the business.
Build and Develop High-Performing Teams
- Recruit, develop, and retain world-class data science talent.
- Coach and mentor managers, senior data scientists, and emerging leaders.
- Create an inclusive, collaborative team environment focused on innovation, growth, and continuous learning.
- Establish clear performance expectations and support career development for team members.
Shape Data Strategy
- Partner with business and technology leaders to define data requirements, governance practices, and long-term analytics strategies.
- Advocate for data quality, accessibility, and responsible data management.
- Identify opportunities to unlock business value through the effective use of data and advanced analytics.
- Influence organizational priorities through strategic insights and thought leadership.
What You'll Bring
Required Qualifications
- Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Mathematics, or a related quantitative field, or equivalent practical experience.
- 8+ years of experience in data science, machine learning, advanced analytics, or related disciplines.
- 3+ years of people leadership experience managing and developing data science teams.
- Expertise in statistical modeling, machine learning, experimentation, and large-scale analytical problem solving.
- Proficiency with Python, SQL, and modern data science ecosystems.
- Experience deploying and operationalizing machine learning solutions in production environments.
- Demonstrated ability to influence senior stakeholders and drive business outcomes through data-driven insights.
Preferred Qualifications
- Experience leading data science teams in retail, eCommerce, supply chain, marketplace, advertising, fintech, or consumer technology environments.
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of cloud-based machine learning platforms and MLOps practices.
- Experience leveraging generative AI, large language models, and emerging AI technologies to solve business challenges.
- Track record of driving measurable business impact through advanced analytics and machine learning solutions.
You'll Make an Impact By
- Solving complex business problems through data, analytics, and AI.
- Building innovative, scalable solutions that improve customer and associate experiences.
- Developing the next generation of data science leaders.
- Driving strategic decisions through insights and measurable business outcomes.
- Advancing Walmart's mission to help people save money and live better.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location
640 W California Ave, Sunnyvale, CA 94086-4828, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
Position Summary
As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that drive measurable business impact across Walmart. You will partner closely with product, engineering, operations, and business leaders to identify opportunities, develop data-driven strategies, and deploy scalable solutions that improve customer experiences, operational efficiency, and business performance.
You will serve as both a strategic thought partner and technical leader, translating complex business challenges into analytical frameworks and innovative solutions while developing high-performing teams.
What You'll Do
Lead High-Impact Data Science Initiatives
- Define and execute the data science roadmap aligned to business priorities and organizational goals.
- Partner with cross-functional stakeholders to identify opportunities where data, machine learning, and AI can create measurable value.
- Translate ambiguous business challenges into structured analytical problems and actionable solutions.
- Establish success metrics, quantify business impact, and communicate results to executive leadership.
- Drive experimentation, measurement, and continuous improvement through test-and-learn frameworks.
Develop Advanced Analytics and Machine Learning Solutions
- Lead the design, development, validation, and deployment of statistical, machine learning, and AI models at enterprise scale.
- Guide teams in applying advanced techniques including predictive modeling, optimization, experimentation, forecasting, recommendation systems, natural language processing, and emerging AI technologies.
- Oversee feature engineering, model selection, model evaluation, and production monitoring to ensure performance, reliability, and scalability.
- Champion best practices in model governance, validation, explainability, and responsible AI.
Drive Technical Excellence
- Establish standards for data science, model development, coding practices, experimentation, and deployment.
- Ensure solutions are scalable, maintainable, and aligned with enterprise architecture and engineering standards.
- Partner with engineering teams to operationalize machine learning solutions and enable continuous model improvement.
- Stay current on industry trends and emerging technologies, identifying opportunities to leverage new capabilities across the organization.
Deliver Insights Through Data Storytelling
- Translate complex analytical findings into compelling narratives tailored to technical and non-technical audiences.
- Influence strategic decisions through clear communication, visualization, and executive-level presentations.
- Enable stakeholders to make informed decisions by providing actionable insights and recommendations.
- Foster a culture of data-driven decision-making across the business.
Build and Develop High-Performing Teams
- Recruit, develop, and retain world-class data science talent.
- Coach and mentor managers, senior data scientists, and emerging leaders.
- Create an inclusive, collaborative team environment focused on innovation, growth, and continuous learning.
- Establish clear performance expectations and support career development for team members.
Shape Data Strategy
- Partner with business and technology leaders to define data requirements, governance practices, and long-term analytics strategies.
- Advocate for data quality, accessibility, and responsible data management.
- Identify opportunities to unlock business value through the effective use of data and advanced analytics.
- Influence organizational priorities through strategic insights and thought leadership.
What You'll Bring
Required Qualifications
- Master's degree in Data Science, Statistics, Computer Science, Operations Research, Economics, Mathematics, or a related quantitative field, or equivalent practical experience.
- 8+ years of experience in data science, machine learning, advanced analytics, or related disciplines.
- 3+ years of people leadership experience managing and developing data science teams.
- Expertise in statistical modeling, machine learning, experimentation, and large-scale analytical problem solving.
- Proficiency with Python, SQL, and modern data science ecosystems.
- Experience deploying and operationalizing machine learning solutions in production environments.
- Demonstrated ability to influence senior stakeholders and drive business outcomes through data-driven insights.
Preferred Qualifications
- Experience leading data science teams in retail, eCommerce, supply chain, marketplace, advertising, fintech, or consumer technology environments.
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of cloud-based machine learning platforms and MLOps practices.
- Experience leveraging generative AI, large language models, and emerging AI technologies to solve business challenges.
- Track record of driving measurable business impact through advanced analytics and machine learning solutions.
You'll Make an Impact By
- Solving complex business problems through data, analytics, and AI.
- Building innovative, scalable solutions that improve customer and associate experiences.
- Developing the next generation of data science leaders.
- Driving strategic decisions through insights and measurable business outcomes.
- Advancing Walmart's mission to help people save money and live better.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field.
Preferred Qualifications
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Primary Location
640 W California Ave, Sunnyvale, CA 94086-4828, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
See all 83+ H-1B1 Singapore Visa Data Science Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Data Science Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Data Science Manager
Verify your degree maps to the role
H-1B1 visa requires your degree field to directly relate to data science or quantitative management. A degree in statistics, computer science, or applied mathematics clears this bar. An MBA alone typically doesn't, so gather transcripts that show your technical coursework before applying.
Target employers with active LCA filings
Use Migrate Mate to filter for companies that have filed Labor Condition Applications for data science leadership roles. Employers already familiar with LCA certification for managerial data positions move faster and make fewer filing errors during your H-1B1 visa process.
Benchmark your offer against prevailing wage levels
Your employer must certify your salary meets the DOL prevailing wage for Data Science Manager in your work location. Use the OFLC Wage Search before negotiating your offer so you can flag underpayment risks early rather than after the LCA is filed.
Distinguish manager-level duties in your job description
H-1B1 visa consular officers scrutinize whether a role is genuinely specialty occupation. A job description that lists strategic modeling oversight, team leadership, and cross-functional data governance reads more clearly as qualifying than one that blends IC and managerial duties ambiguously.
Clarify who handles the LCA filing with your employer
Unlike H-1B, H-1B1 visa does not require a USCIS petition, but your employer still files the LCA with DOL before your consular appointment. Confirm early whether their HR team or outside counsel owns this step so nothing stalls your interview scheduling.
Prepare for consular intent questions specific to this role
Singapore nationals applying for H-1B1 visa are interviewed at the U.S. Embassy in Singapore. Officers routinely ask how a Data Science Manager role ties to a degree-level field. Prepare a concise answer linking your technical credentials to the position's quantitative requirements.
Frequently Asked Questions
Does a Data Science Manager role qualify as a specialty occupation for H-1B1 Singapore?
Yes, provided the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, data engineering, or a quantitative discipline. Roles that blend general management with technical modeling responsibilities typically qualify, but the employer's job description must make the degree requirement explicit. Generalist management titles without a technical foundation can draw scrutiny at the consulate.
How does H-1B1 Singapore compare to H-1B for a Data Science Manager pursuing U.S. employment?
H-1B1 Singapore has no lottery and no USCIS petition requirement, which removes the single biggest uncertainty from the H-1B process. The annual cap of 5,400 visas for Singapore nationals has never been exhausted, so approval depends on your employer's LCA certification and your consular interview rather than a random draw. The tradeoff is that H-1B1 does not confer dual intent, so demonstrating nonimmigrant intent at the interview matters.
How do I find employers who have sponsored H-1B1 Singapore visas for data science leadership roles?
Migrate Mate lets you search for employers with verified LCA filing history filtered by occupation and visa type, so you can identify companies that have already navigated the H-1B1 visa process for data science roles. This is more reliable than relying on employer self-reporting because LCA disclosure data comes directly from DOL and reflects actual filing activity rather than stated intentions.
What does the H-1B1 application timeline look like for a Data Science Manager hired from Singapore?
Once you have a signed offer, your employer files the LCA with DOL, which typically certifies within seven business days. You then complete the DS-160, pay the visa fee, and schedule your interview at the U.S. Embassy in Singapore. From offer acceptance to consular appointment, the process commonly runs four to eight weeks, depending on embassy scheduling availability and how quickly your employer completes the LCA.
Can a Data Science Manager on H-1B1 Singapore switch employers after arriving in the United States?
Yes, but H-1B1 visa does not carry H-1B portability provisions. Your status is tied to your sponsoring employer, so changing jobs requires your new employer to file a fresh LCA and you must either change status through USCIS or depart and re-enter on a new H-1B1 issued at the consulate. Planning an employer transition well in advance of your visa's expiration avoids gaps in work authorization. Migrate Mate can help you identify new sponsors before you initiate a change.