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Full Time Data Science H1B Jobs (NOW HIRING)

Figma

Director, Data Science

San Francisco, CA · On-site +1

This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: * Lead, support, and grow a team of data scientists and data science ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday 10%+ ... experience in data science will be considered. The preferred candidate will possess a Master ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ...

Healthcare

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best ...

Solventum

Data science software developer

Murray, UT · On-site +1

$124K - $170K/yr

Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we ... H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best ...

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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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The top searched job categories for Full Time Data Science H1B jobs are:

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 Science Specialist

Adidev Technologies Inc

Manhattan, NY • Remote

Full-time

Re-posted 14 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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