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Full Time Data Science H1B Jobs (NOW HIRING)

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Role Description This is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data ...

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$41.5K

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How much do full time data science h1b jobs pay per year?

As of Sep 3, 2026, the average yearly pay for full time data science h1b in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a full time data science H1B position?

A Full Time Data Science H1B position refers to a data science job in the United States where the employer sponsors the employee for an H1B visa. This visa allows foreign professionals with specialized knowledge, such as data analysis, statistical modeling, and machine learning, to work legally in the U.S. full time. Data scientists holding an H1B typically work on projects involving data manipulation, predictive analytics, and business intelligence for various industries. Employers must demonstrate that the role requires specialized skills and pay the prevailing wage for the position.

What are the key skills and qualifications needed to thrive as a full time data scientist on an H1B visa?

To thrive as a Full Time Data Scientist, you typically need expertise in statistics, programming (Python or R), data analysis, and a relevant degree such as computer science or mathematics. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), data visualization tools (e.g., Tableau), and cloud platforms (e.g., AWS, Azure) is often required, along with an understanding of U.S. work authorization processes for H1B holders. Strong problem-solving abilities, communication skills, and adaptability help you translate complex data insights into actionable business strategies. These skills ensure you can deliver valuable data-driven solutions while effectively navigating both technical and workplace challenges in a diverse, fast-paced environment.

What are some common challenges faced by full time data scientists working on H1B visas, and how can they be addressed?

Full Time Data Scientists on H1B visas often encounter challenges such as adapting to new workplace cultures, navigating complex immigration paperwork, and managing timelines for visa renewals or green card applications. These professionals may also face pressure to consistently demonstrate high performance due to sponsorship commitments. Addressing these challenges involves proactive communication with HR and legal teams, staying informed about visa regulations, and building a strong support network within the organization. Many companies offer dedicated resources or legal assistance to help H1B employees succeed and feel integrated into the team.

What is the difference between Full Time Data Science H1B vs Full Time Data Analyst H1B?

AspectFull Time Data Science H1BFull Time Data Analyst H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills in Python, RBachelor's in Statistics, Business, or related fields; proficiency in Excel, SQL, and basic analytics
Work EnvironmentResearch and development, predictive modeling, machine learning projectsData reporting, visualization, business insights
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare

Full Time Data Science H1B roles typically require advanced skills in programming, machine learning, and statistical modeling, focusing on developing predictive models and algorithms. Data Analyst H1B positions often emphasize data reporting, visualization, and supporting business decisions. While both roles involve working with data, Data Science roles are more technical and research-oriented, whereas Data Analyst roles focus on interpreting data for strategic insights.

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States with the most job openings for Full Time Data Science H1B jobs include:

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Full Time Data Science H1B jobs near you
Infographic showing various Full Time Data Science H1B job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Scientist

Newton Research

Boston, MA

$160K - $180K/yr

Full-time

Re-posted 28 days ago

Job description

Data Scientist

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data, design experiments, and interpret results. More importantly, you will work with engineering to encode those abilities into software and train Newton to think like a data scientist. The data science team is small, so your work reaches customers quickly and your judgment shapes the product. We value self-motivated individuals who collaborate well across teams and can present and defend findings to stakeholders.

Qualifications

  • Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline.
  • Strong foundation in data analysis, statistical modeling, and machine learning concepts.
  • Proficiency in Python, including data science libraries like pandas and scikit-learn, and writing code that ships to production.
  • Strong SQL and experience working with relational databases.
  • Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift.
  • Ability to evaluate a model, a causal experiment, or an AI-generated analysis and identify what it measures, where it fails, and how to verify it.
  • Ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Experience in media, marketing, advertising, or related industries is a strong plus.

Base Salary Range: $160,000-$180,000 + Equity

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