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Data Science H1B Jobs (NOW HIRING)

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 ...

Texas Workforce Commission

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 ...

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 ...

SynergisticIT

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a ... We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support.

SynergisticIT

Entry Level Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

... Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a ... We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support.

H1B

USA H1B Sponsorship opportunity

Plano, TX · On-site

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

SynergisticIT

Data Analyst (Remote)

Pittsburgh, PA · On-site

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... We assist in filing for STEM extension and also for H1B and Green card filing to candidates. We ...

SynergisticIT

Data Analyst (Remote)

Pittsburgh, PA

Recent computer science/engineering/mathematics/statistics or science graduates looking to make ... We assist in filing for STEM extension and also for H1B and Green card filing to candidates. We ...

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 ...

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Master's or Bachelor's Degree with coursework focused on Data & Analytics, Data Science, Data ...

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$116.3K

$205.5K

How much do data science h1b jobs pay per year?

As of Sep 2, 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 is a data science H1B?

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.

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 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.

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What cities are hiring for Data Science H1B jobs?

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Data Science H1B jobs near you
Infographic showing various 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 $116,305 per year, or $55.9 per hour.

Lead Data Engineer - Experimentation Platform - 1633

aKube, Inc.

Santa Monica, CA • On-site

$100/hr

Contractor

Re-posted yesterday

Job description


City:Santa Monica, CA
Onsite/ Hybrid/ Remote: Hybrid (4 days onsite per week, no flexibility)
Duration: 6Months
Rate Range: Upto $100/hr on W2
Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B
Must Have:
  • Python
  • SQL
  • Data Engineering
  • ETL / ELT
  • Apache Spark
  • Databricks
  • Snowflake
  • Apache Kafka
  • Apache Airflow
  • Streaming Data Pipelines
  • Data Modeling
  • Data Warehousing / Lakehouse
  • A/B Testing / Experimentation Platforms
  • CI/CD for Data Pipelines
  • Data Quality & Data Governance
  • Cloud Data Platforms
Responsibilities:
  • Design and build scalable data platforms supporting experimentation and A/B testing.
  • Develop batch and streaming data pipelines for large-scale user and product datasets.
  • Build reusable datasets and frameworks for experimentation, analytics, and product measurement.
  • Design dimensional data models and analytics-ready data products.
  • Implement automated data quality, validation, monitoring, lineage, and governance.
  • Build production-grade deployment pipelines with CI/CD and observability.
  • Partner with Product, Engineering, Data Science, and Analytics teams to deliver scalable data solutions.
  • Optimize data infrastructure supporting experimentation, personalization, and machine learning workloads.
  • Mentor engineers and establish best practices for large-scale data engineering.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field.
  • 7+ years of experience in data engineering or large-scale data platforms.
  • Strong experience with distributed data processing and cloud-based data architectures.
  • Hands-on experience with Python, SQL, Spark, Databricks, Snowflake, Kafka, and Airflow.
  • Strong understanding of data modeling, ETL/ELT, streaming architectures, and lakehouse concepts.
  • Experience building experimentation, analytics, personalization, or ML data platforms.
  • Experience implementing CI/CD, automated testing, monitoring, and data governance.
  • Strong system design and architecture experience.
  • Experience mentoring engineers and leading technical initiatives.
Nice to Have:
  • Experimentation platforms or A/B testing infrastructure.
  • Causal inference or product analytics experience.
  • ML feature engineering and model lifecycle pipelines.
  • Infrastructure automation and observability.
  • Subscription, streaming media, advertising, or consumer product experience.
  • MS or PhD in a related technical field.

Apply