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Full Time Data Science H1B Jobs (NOW HIRING)

Senior Data Scientist

$149K - $171K/yr

D. is preferred. * 7 years of professional full-time data science experience, with a proven track record of developing and deploying production-grade ML models. * Candidates should have experience ...

Accountability, Mission Driven, Community Focus and Team Oriented.  Syntelligent is seeking a full time Data Scientist for a future opening available with a government customer.*** This is a ...

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ... No OPT-EAD, H1B & TN candidates, please. * Please mention your Visa Status in your email or resume

Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US ... No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume

Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ... No OPT-EAD, H1B & TN candidates, please. * Please mention your Visa Status in your email or resume

Note:- * This is a Full-Time & Permanent job opportunity for you. * Only US Citizen , Green Card ... No OPT-EAD, H1B & TN candidates, please. * Please mention your Visa Status in your email or resume

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Full Time Data Science H1B information

See salary details

$41.5K

$142.5K

$201K

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

As of Jun 9, 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 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.

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, and why are they important?

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.
More about Full Time Data Science H1B jobs
What cities are hiring for Full Time Data Science H1B jobs? Cities with the most Full Time 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 Full Time Data Science H1B jobs? States with the most job openings for Full Time Data Science H1B jobs include:
Infographic showing various Full Time Data Science H1B job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Data Scientist

$149K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Overview
Job Summary:
National Debt Relief (NDR) is seeking an experienced and versatile Senior Data Scientist to join our Data Intelligence team and round out our capabilities. This role is designed for an experienced data science professional with proven experience in building and deploying enterprise-grade production machine learning (ML) and artificial intelligence (AI) models. As a key contributor, you will augment the team's existing strengths in classification and regression analysis by bringing advanced expertise in techniques such as unsupervised learning, clustering, time series analysis, anomaly detection, natural language processing (NLP), topic modeling, and generative AI. This individual will be pivotal in enhancing the team's capacity to conceptualize, develop, and deploy complex models efficiently, within project timelines.
Responsibilities
Essential Duties/Responsibilities:
  • Serve as a strategic addition to the data science team, contributing advanced technical expertise to complement existing skills.
  • Conceptualize, develop, and deploy production-grade ML models and AI applications, consistently delivering projects within 8-12-week timeframes.
  • Apply sophisticated data science techniques, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI, to address business challenges.
  • Implement and maintain ML Ops practices to streamline and manage the full model lifecycle for scalable, production-ready solutions.
  • Collaborate with cross-functional teams to identify business needs and translate them into impactful data science solutions.
  • Use strong SQL (Snowflake preferred) and Python skills for data preparation, analysis, and model development.
  • Demonstrate high business acumen by understanding the practical implications of data science projects and communicating effectively with stakeholders.
  • Present complex analyses and results to both technical and non-technical audiences, ensuring clarity and actionable insights.
  • Mentor junior team members, contributing to a culture of continuous learning and data innovation.

Qualifications
Education/Experience:
  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field required. A master's or Ph.D. is preferred.
  • 7 years of professional full-time data science experience, with a proven track record of developing and deploying production-grade ML models.
  • Candidates should have experience with marketing attribution and optimization modeling.
  • Experience in financial services or a related industry (Preferred).
  • Experience with data warehouse solutions like Snowflake, Azure, Redshift, or GCP (Preferred).

Required Skills/Abilities:
  • Advanced proficiency in Python and SQL (Snowflake preferred), with significant hands-on experience.
  • Deep expertise in ML Ops and experience managing production model workflows.
  • Extensive experience with DataRobot or similar platforms is highly preferred.
  • Proven application of a variety of advanced data science techniques beyond classification and regression, including unsupervised learning, clustering, time series analysis, anomaly detection, NLP, topic modeling, and generative AI.
  • Demonstrated ability to develop and deploy models while meeting project deadlines, with examples of successful implementations.
  • High level of business acumen, with practical experience in client-facing roles or sales preferred.
  • Experience in marketing optimization models is a plus.
  • Exceptional communication skills for explaining complex data insights to diverse audiences.
  • Ability to foster a culture of collaboration, continuous improvement, and innovation.
  • Familiarity with data visualization tools for impactful presentations.
  • Exposure to collaborative tools such as JIRA and Miro.

National Debt Relief Role Qualifications:
  • Computer competency and ability to work with a computer.
  • Prioritize multiple tasks and projects simultaneously.
  • Exceptional written and verbal communication skills.
  • Punctuality expected, ready to report to work on a consistent basis.
  • Attain and maintain high performance expectations on a monthly basis.
  • Work in a fast-paced, high-volume setting.
  • Use and navigate multiple computer systems with exceptional multi-tasking skills.
  • Remain calm and professional during difficult discussions.
  • Take constructive feedback.
  • Available for full-time position.

Compensation Information
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $149,000.00 - $171,500.00
About National Debt Relief
National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.
Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.
Want to learn more about who we are? Connect with us on social!
Benefits
National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.
Our extensive benefits package includes:
  • Generous Medical, Dental, and Vision Benefits
  • 401(k) with Company Match
  • Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
  • 12 weeks Paid Parental Leave
  • Pre-tax Transit Benefits
  • No-Cost Life Insurance Benefits
  • Voluntary Benefits Options
  • ASPCA Pet Health Insurance Discount
  • Wellness Incentive Program

National Debt Relief is a certified Great Place to Work®!
National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.
For information about our Employee Privacy Policy, please see here
For information about our Applicant Terms, please see here
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