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Data Science H1B Jobs (NOW HIRING)

USM

JB061715 - Data Scientist

Mclean, VA · On-site

Skills Data Scientist Visa Types H1B, Green Card, US .. Title: Data Scientist Location: Mc Lean, VA (Hybrid) Responsibilities Collect, clean, and analyze large dataset Build predictive and ...

ACI Infotech

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

On-Site Accepting H1B Transfer cases This role is a hands-on technical SME opportunity who will be ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ... Advanced Analytics/Data Scientists tools: * Must Have: Google Analytics, FireBase, RStudio Server ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN · On-site

Senior data scientist. * Research various analytical approaches * Recommend and develop ... H1B Transfer can also apply for this Full-Time & Permanent job position * No OPT-EAD candidates ...

ACI Infotech

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

On-Site Accepting H1B Transfer cases This role is a hands-on technical SME opportunity who will be ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

ACI Infotech

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

On-Site ( Atlanta, GA) Accepting H1B transfer cases This role is a hands-on technical SME ... Masters or Bachelor's degree in Computer Science or Information technology with specialization in ...

TWC Business Unit

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ... H1B visas or those currently on student or postgraduate visas In compliance with federal law, all ...

H1B

USA H1B Sponsorship opportunity

Plano, TX

... Data Scientists, AI/ML Developers, DevOps Specialists, Automation Engineers, Infrastructure Engineers, Cloud Engineers, Database Engineers, Information Security Engineers, ERP Functional & Technical ...

SMX

Lead Data Scientist (5421)

Fort Washington, MD · On-site

$103K - $171K/yr

SMX is seeking a Lead Data Scientist. How would you like to be part of a leadership team made up of ... H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of ...

Motocol

Data analytics Architect

San Jose, CA

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Salary Range: $ 115,000 - $ 145,000 H1B candidates, please apply Type of Employment: Exempt No ...

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$24K

$116.3K

$205.5K

How much do data science h1b jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science h1b in the United States is $116,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science H1B position, and why are they important?

To thrive as a Data Science H1B, you need a solid foundation in statistics, programming languages such as Python or R, and experience with machine learning algorithms, generally supported by a relevant degree in computer science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), cloud platforms (such as AWS or Azure), and certifications in data science or analytics are highly valued. Strong communication, problem-solving abilities, and the ability to work effectively in cross-functional teams are key soft skills. These attributes enable data scientists to extract actionable insights from data, communicate findings clearly, and contribute to impactful business decisions.

What are some typical challenges faced by Data Science professionals working on an H1B visa?

Data Science professionals on an H1B visa may encounter challenges such as adapting to new workplace cultures, managing high expectations for immediate impact, and staying current with rapidly evolving technologies. Collaboration across global teams and clear communication are essential, as projects often require input from various departments and stakeholders. Additionally, navigating the complexities of visa regulations while balancing career development can be demanding. However, many organizations provide robust support structures, mentorship, and training to help H1B employees thrive in their roles and advance their careers.

What is a Data Science H1B job?

A Data Science H1B job refers to a data science position in the U.S. that is sponsored by an employer under the H1B visa program. This visa allows skilled foreign workers to temporarily work in specialized fields such as data science. Data scientists on H1B visas typically analyze large datasets, build machine learning models, and develop data-driven solutions for businesses. Employers must demonstrate that the role requires specialized knowledge and that the candidate meets the necessary qualifications.

More about Data Science H1B jobs
What cities are hiring for Data Science H1B jobs? Cities with the most Data Science H1B job openings:
What are the most commonly searched types of Data Science H1B jobs? The most popular types of Data Science H1B jobs are:
What states have the most Data Science H1B jobs? States with the most job openings for Data Science H1B jobs include:
What job categories do people searching Data Science H1B jobs look for? The top searched job categories for Data Science H1B jobs are:
Data Science H1B jobs near you
Infographic showing various Data Science H1B job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,305 per year, or $55.9 per hour.

Senior Data Scientist

Starcom Mediavest Group Germany Gmbh

Manhattan, NY • On-site

Full-time

Posted 17 days ago

Job description

Company Description

Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients.Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally.  We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management.We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support at http://www.publicisresources.com. The Publicis Re:Sources Guiding Principles define who we are and what we stand for. They reflect the mindset and behaviors that shape how we work, how we support one another, and how we drive progress together.

  • People First, Driving Success Together
  • Problem Solving Mindset
  • Respect Each Other
  • Partner and Collaborate as One Team
  • Commit to Quality and Standards
  • Innovate and Embrace the Future
Job Description

*Visa sponsorship is not available for this role including H1B, OPT EAD etc.*

We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization.

Responsibilities
  • Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications.
  • Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
  • Collaborate with product and engineering teams to integrate generative models into scalable applications.
  • Conduct research on emerging Gen AI techniques and apply them to business use cases.
  • Fine-tune pre-trained models and develop custom architectures for domain-specific tasks.
  • Ensure compliance with AI ethics, bias mitigation, and data privacy standards.
  • Mentor junior data scientists and contribute to best practices in model development and MLOps.
Qualifications
  • Bachelor's. in Computer Science, Data Science, AI/ML, or related field.
  • 7+ years of experience in Data Science, with at least 2+ years in Generative AI.
  • Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks.
  • Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures.
  • Expertise in NLP, computer vision, and multimodal AI.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools.
  • Strong understanding of data ethics, bias detection, and responsible AI principles.

Preferred

  • Experience with prompt engineering, fine-tuning large models, and vector databases.
  • Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse.
  • Publications or contributions in AI research communities.
Additional InformationAll your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an ""at-will"" relations.Employment Type: FULL_TIME

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