Data Science Engineer Jobs at NTT DATA with Visa Sponsorship
NTT DATA hires Data Science Engineers across enterprise technology and consulting engagements, supporting candidates through multiple visa pathways including H-1B, E-3, and Green Card sponsorship. If you're targeting a technical role at a global IT services firm with an established immigration process, NTT DATA is worth pursuing.
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Get Access To All JobsINTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer (FTE / Hybrid) to join our team in Addison, Texas (US-TX), United States (US).
"Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role."
JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives
- API Development Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.
- Vectorization Embeddings: Expertise in vector databases and semantic search.
- Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio
- Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365
- Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices
- Provide second- and third-level support for AI-related incidents, enhancements, and deployments
- Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads
- Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption
- Mentor and support business users and citizen developers in building and scaling AI-powered solutions
- Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement
- Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity
- Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy
- Maintain and enforce change control processes.
- Assist in developing and maintaining operational standards and best practices.
- Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
- Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
- Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
- Perform other duties as required and/or assigned.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Technology Industry is preferred or equivalent work experience
- Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
- Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
KNOWLEDGE, SKILLS, AND ABILITIES REQUIREMENTS
- Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
- Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
- Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
- LLMs Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.
- Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
- Familiarity with MLOps practices and tools for model lifecycle management and monitoring
- Understanding of responsible AI principles, including fairness, transparency, and data privacy
- Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape
- Experience with cloud-based development environments, particularly Microsoft Azure
- Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
- Excellent communication skills (both written and oral) combined with strong interpersonal skills.
- Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
INTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer (FTE / Hybrid) to join our team in Addison, Texas (US-TX), United States (US).
"Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role."
JOB DUTIES AND RESPONSIBILITIES
- Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives
- API Development Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.
- Vectorization Embeddings: Expertise in vector databases and semantic search.
- Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio
- Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365
- Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices
- Provide second- and third-level support for AI-related incidents, enhancements, and deployments
- Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads
- Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption
- Mentor and support business users and citizen developers in building and scaling AI-powered solutions
- Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement
- Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity
- Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy
- Maintain and enforce change control processes.
- Assist in developing and maintaining operational standards and best practices.
- Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
- Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
- Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
- Perform other duties as required and/or assigned.
MINIMUM QUALIFICATIONS
- Bachelor's Degree in Technology Industry is preferred or equivalent work experience
- Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
- Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
KNOWLEDGE, SKILLS, AND ABILITIES REQUIREMENTS
- Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
- Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
- Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
- LLMs Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.
- Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
- Familiarity with MLOps practices and tools for model lifecycle management and monitoring
- Understanding of responsible AI principles, including fairness, transparency, and data privacy
- Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape
- Experience with cloud-based development environments, particularly Microsoft Azure
- Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
- Excellent communication skills (both written and oral) combined with strong interpersonal skills.
- Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all 31+ Data Science Engineer at NTT DATA jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at NTT DATA Jobs
Align your degree to the role specification
NTT DATA's Data Science Engineer postings typically require a degree in computer science, statistics, or a directly related quantitative field. A generalist degree paired with a data science bootcamp rarely satisfies the specialty occupation standard USCIS applies to H-1B petitions.
Target NTT DATA's enterprise client verticals first
NTT DATA places Data Science Engineers across financial services, healthcare, and public sector engagements. Applying to roles tied to these verticals signals project-ready skills and aligns with where their active headcount needs sit, which strengthens your case during hiring review.
Verify E-3 eligibility before your first interview round
Australian citizens qualify for the E-3 visa, which skips the H-1B lottery entirely. NTT DATA sponsors E-3, so confirming your citizenship upfront with the recruiter avoids the March lottery window and lets the employer file year-round on your timeline.
Ask the recruiter about their PERM sponsorship timeline
NTT DATA sponsors EB-2 and EB-3 Green Cards, but PERM labor certification typically begins after one to two years of employment. Clarify during the offer stage whether your role is classified as a permanent position, since contract-to-hire arrangements often delay or exclude PERM eligibility.
Use Migrate Mate to filter open Data Science Engineer roles by visa type
Not every NTT DATA posting is tied to the same sponsorship pathway. Use Migrate Mate to filter active openings by the visa types relevant to your situation, so you're applying to roles where sponsorship is already confirmed rather than asking at the offer stage.
Front-load your OPT timeline when applying on F-1 status
F-1 OPT gives you 12 months of work authorization, with a 24-month STEM extension if your degree qualifies. NTT DATA sponsors both, but STEM OPT requires your employer to be enrolled in E-Verify. Confirm this before accepting an offer to avoid a gap in your authorization.
Data Science Engineer at NTT DATA jobs are hiring across the US. Find yours.
Find Data Science Engineer at NTT DATA JobsFrequently Asked Questions
Does NTT DATA sponsor H-1B visas for Data Science Engineers?
Yes, NTT DATA sponsors H-1B visas for Data Science Engineers. The company has a consistent track record of filing H-1B petitions for technical roles in this function. Because H-1B selection is subject to the annual lottery, timing your application and confirming the role qualifies as a specialty occupation under USCIS standards are the two most important steps before accepting an offer.
How do I apply for Data Science Engineer jobs at NTT DATA?
You can browse and apply for Data Science Engineer roles at NTT DATA directly through Migrate Mate, which filters open positions by visa sponsorship type so you can target roles relevant to your situation. Applications typically go through NTT DATA's recruiting team, and it helps to tailor your resume to the specific engagement area, whether that's enterprise analytics, machine learning infrastructure, or client-facing data solutions.
Which visa types does NTT DATA commonly use for Data Science Engineer roles?
NTT DATA sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, and Green Card pathways including EB-2 and EB-3 for Data Science Engineers. The right pathway depends on your nationality and current status. Australian citizens often use the E-3, Canadian and Mexican nationals can pursue TN, and candidates on F-1 status typically start on OPT before transitioning to H-1B sponsorship.
What qualifications does NTT DATA expect for Data Science Engineer roles?
NTT DATA's Data Science Engineer roles typically require a bachelor's or master's degree in computer science, applied mathematics, statistics, or a related quantitative discipline. Hands-on experience with machine learning frameworks, cloud platforms such as AWS or Azure, and data pipeline tools is expected. For H-1B purposes, your degree field needs to align directly with the role's core duties, not just broadly with technology.
How long does the visa sponsorship process take for a Data Science Engineer at NTT DATA?
For H-1B sponsorship, NTT DATA files during the April lottery window for an October 1 start date, meaning you could wait six months or more from offer to start if selected. E-3 and TN sponsorship move faster, often within four to eight weeks of an offer. Green Card sponsorship through PERM typically begins after your first year of employment and can take two to four years or longer depending on your country of birth.
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