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H1B Visa Data Science Jobs in Reston, VA (NOW HIRING)

DATA ENGINEER

Mclean, VA · On-site

$116K - $139K/yr

Mclean,VA or Plano, TX Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 Design, build, and operate large-scale batch and real-time data pipelines that move, transform, and publish ...

... engineers, data scientists, and product managers to design, implement, and deliver solutions that are intuitive, user-centric, and accessible to everyone at Visa. This is a hybrid position.

... engineers, data scientists, and product managers to design, implement, and deliver solutions that are intuitive, user-centric, and accessible to everyone at Visa. This is a hybrid position.

Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so ... Preferred Qualifications Master of Science in Mathematics, Engineering, or Computer Science Working ...

Network Engineer- WAN (Sr. Consultant level)

Ashburn, VA · Hybrid

$106K - $145K/yr

The Network & Security Engineer Senior Consultant operates Visa's internal data communications ... Degree in Math, Science, Engineering, or Computer Science, Information Systems or related field OR ...

Sr. GIS Solution Engineer- Health & Sciences

Vienna, VA · On-site

$55.50 - $71.50/hr

Be a technical leader of Esri technology as well as a subject matter expert of spatial data science ... Visa sponsorship is not available for this posting. Applicants must be authorized to work for any ...

Network Engineer- WAN (Sr. Consultant level)

Ashburn, VA · On-site

$106K - $145K/yr

The Network & Security Engineer Senior Consultant operates Visa's internal data communications ... Degree in Math, Science, Engineering, or Computer Science, Information Systems or related field OR ...

Showing results 41-60

H1B Visa Data Science information

See Reston, VA salary details

$43.2K

$148.2K

$209.1K

How much do h1b visa data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for h1b visa data science in Reston, VA is $148,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $173,200.00 per year, depending on experience, location, and employer.

What is an H1B visa for data scientists?

An H1B visa for data scientists is a non-immigrant work visa that allows U.S. employers to hire foreign professionals in specialty occupations, such as data science, for a specified period. Data scientists on H1B visas typically require at least a bachelor's degree in a related field and work in roles involving data analysis, machine learning, and statistical modeling. The H1B program is competitive, with annual caps and application deadlines, and selection is often through a lottery system. Employers must sponsor the visa, and the process involves both government filings and potential prevailing wage requirements.

What are the key skills and qualifications needed to thrive as a data scientist working under an H1B visa?

To thrive as a Data Scientist, you need a strong background in statistics, programming (Python/R), machine learning, and a relevant degree such as computer science, mathematics, or engineering. Familiarity with data analysis tools like SQL, TensorFlow, and big data platforms such as Hadoop or Spark, as well as relevant certifications, is highly valuable. Strong problem-solving, communication, and teamwork skills help you translate complex data insights into actionable solutions for business stakeholders. These combined skills are crucial for delivering impactful data-driven results and succeeding in a competitive, fast-evolving tech environment.

What are some unique challenges data scientists on an H1B visa might face in the workplace, and how can they navigate them?

Data scientists working in the U.S. on an H1B visa may encounter challenges such as navigating complex immigration paperwork, adhering to strict timelines for visa renewals, and sometimes managing uncertainty about long-term residency. Additionally, there might be additional scrutiny during background checks or when transferring employers. To navigate these challenges, it's important to work closely with your employer’s HR and legal teams, stay organized with documentation, and proactively seek out networking and mentorship opportunities within your organization. Many companies that sponsor H1B visas also offer resources and support to help international employees succeed and advance in their roles.

What is the difference between H1B Visa Data Science vs H1B Visa Data Analyst?

AspectH1B Visa Data ScienceH1B Visa Data Analyst
Required CredentialsBachelor's or higher in CS, Statistics, or related fields; often advanced degreesBachelor's degree in related fields; certifications helpful but not mandatory
Work EnvironmentResearch, modeling, predictive analytics, machine learning projectsData cleaning, reporting, visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare

H1B Visa Data Science roles typically require advanced education and involve complex modeling and machine learning tasks, while Data Analyst roles focus on data reporting and visualization. Both roles are in high demand but differ in technical depth and responsibilities.

What are popular job titles related to H1B Visa Data Science jobs in Reston, VA?

For H1B Visa Data Science jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching H1B Visa Data Science jobs in Reston, VA look for?

The top searched job categories for H1B Visa Data Science jobs in Reston, VA are:

What cities near Reston, VA are hiring for H1B Visa Data Science jobs?

Cities near Reston, VA with the most H1B Visa Data Science job openings:

Infographic showing various H1B Visa Data Science job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $148,209 per year, or $71.3 per hour.

Sr. Data Scientist (Forecasting)

Nestlé S.A.

Arlington, VA • On-site

$110 - $160/hr

Other

Retirement

Posted 28 days ago


Key responsibilities

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms.

  • Build and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation.

  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders to align business needs with system and process solutions.


Job description

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®.We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, whereyou'llpartner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans andoperatesat scale.You'lldesign and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise Forecasting.You'llbring a strong AI mindset, curiosity about emerging technologies, and comfortoperatingin ambiguity as the forecasting landscape evolves.

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, with a focus on demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to drive forecast accuracy and bias reduction
  • Build andmaintainstructured, programmatic forecasting processes that deliver at scale,leveragingML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows toidentifyaccuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making
  • Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources
  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders across Marketing, Finance, and Sales to align business needs with system and process solutions
  • Advance Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements, enabling standardized, scalable, and cross-functional forecasting solutions across the organization
  • Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value
  • Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience

Requirements

  • Bachelor's degree in statistics, mathematics, economics, business, or a related field
  • 5+ years of experience in data science, forecasting, or advanced analytics, with hands‑on experience in SQL, Python, or a similar language
  • 5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
  • 3+ years of experience deploying andmaintainingmachine learning models in production, including regression, classification, time series modeling, and feature engineering

Other

  • Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred
  • Experience with ML Ops practices,cloudand AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred
  • Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred

Don'tmeet all the qualifications listed under "other"? These arepreferred, butnotrequired. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is$110,000 to $160,000per year. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge,skillsand abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with companymatch, healthcarecoverageand a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more athttps://nestlejobs.com/nestle-in-the-us .

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®.We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, whereyou'llpartner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans andoperatesat scale.You'lldesign and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise Forecasting.You'llbring a strong AI mindset, curiosity about emerging technologies, and comfortoperatingin ambiguity as the forecasting landscape evolves.

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, with a focus on demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to drive forecast accuracy and bias reduction
  • Build andmaintainstructured, programmatic forecasting processes that deliver at scale,leveragingML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows toidentifyaccuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making
  • Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources
  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders across Marketing, Finance, and Sales to align business needs with system and process solutions
  • Advance Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements, enabling standardized, scalable, and cross-functional forecasting solutions across the organization
  • Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value
  • Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience

Requirements

  • Bachelor's degree in statistics, mathematics, economics, business, or a related field
  • 5+ years of experience in data science, forecasting, or advanced analytics, with hands‑on experience in SQL, Python, or a similar language
  • 5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
  • 3+ years of experience deploying andmaintainingmachine learning models in production, including regression, classification, time series modeling, and feature engineering

Other

  • Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred
  • Experience with ML Ops practices,cloudand AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred
  • Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred

Don'tmeet all the qualifications listed under "other"? These arepreferred, butnotrequired. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is$110,000 to $160,000per year. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge,skillsand abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with companymatch, healthcarecoverageand a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more athttps://nestlejobs.com/nestle-in-the-us .

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.


Nearest Major Market: Arlington Virginia
Nearest Secondary Market: Washington DC

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