Data Science Engineer Jobs at NTT DATA with Visa Sponsorship
Data Science Engineer jobs at NTT DATA are available across enterprise technology and consulting engagements, supporting candidates through multiple visa pathways including H-1B visa, E-3 visa, 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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About NTT DATA
At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
Job Location
New York, NY
Key Responsibilities
- Strong data engineering experience with Snowflake, SQL, dbt, and very large datasets.
- Some data science exposure, particularly using Python analytics packages.
- Some PowerBI experience.
- Financial services knowledge preferred.
- Investment risk experience helpful, though not expected to be at SME/guru level.
About NTT DATA Services
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
Equal Opportunity Employer
NTT DATA Services is an equal opportunity employer and considers all applicants without regard to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Compensation
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60/Hr - $70/Hr). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
Benefits
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at NTT DATA
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.
Frequently 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 visa, 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 visa, 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.