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Manager Data Science H1B Jobs (NOW HIRING)

Capital One

Manager, Data Science

Mclean, VA · On-site +1

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Center 1 (19052), United States of America, McLean, Virginia Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (McLean, VA). Exercising discretion at a more ...

McGough

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how ...

University of Miami

Manager, Data Science

Miami, FL

CORE JOB SUMMARY The Manager, Data Science assists the director in managing the development and deployment of technology-based resources to promote systemwide optimization and standardization of ...

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science ...

OneMain Financial

Manager, Data Science

Wilmington, DE · On-site

Manager, Data Science Location: Wilmington, DE (Hybrid Schedule) OneMain Financial is seeking a Data Science Manager based out of Wilmington, DE, to join our innovative and fast-moving Data Science ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Ibotta is looking for a Manager, Data Science to join our fast growing team! This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Rocket

Manager, Data Science

Detroit, MI · On-site

As the Manager of Data Science, you will lead a team of data scientists to solve business problems, shape the Data Science organization's direction, and collaborate with leaders across the company.

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

Rent the Runway

Manager, Data Science

New York, NY · On-site

We are looking for a hands-on Data Science Manager to lead our growing Data Science function while remaining deeply involved in solving high-impact machine learning problems. While this role will ...

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How much do manager data science h1b jobs pay per year?

As of Aug 9, 2026, the average yearly pay for manager data science h1b in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a manager data science in leading cross-functional projects?

A Manager Data Science often encounters challenges such as aligning stakeholders with varying technical backgrounds, ensuring data quality across different sources, and balancing project timelines with evolving business needs. Effective communication is crucial when translating complex analytical findings into actionable insights for non-technical teams. Additionally, managing and mentoring a diverse team of data scientists while fostering collaboration with engineering, product, and business departments is key to driving successful project outcomes.

What is a Manager Data Science H1B?

A Manager Data Science H1B is a professional who oversees data science teams or projects for a company in the United States while working under an H-1B visa. This role typically involves managing data scientists, coordinating analytics projects, making strategic decisions based on data, and ensuring the delivery of actionable insights. The H-1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations such as data science management. The manager is responsible for project planning, mentoring team members, and collaborating with other departments to leverage data in business decisions.

What is the difference between Manager Data Science H1B vs Data Scientist H1B?

AspectManager Data Science H1BData Scientist H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience in team managementBachelor's or Master's in Data Science, Statistics, or related field; technical skills focus
Work EnvironmentLeads data science teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, supports business decisions
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareCommon in tech firms, consulting, research institutions

The main difference between Manager Data Science H1B and Data Scientist H1B lies in their roles and responsibilities. Managers oversee teams and strategic projects, requiring leadership skills, while Data Scientists focus on technical analysis and modeling. Both roles require strong data skills and relevant education, but the managerial position emphasizes team management and project oversight.

What are the key skills and qualifications needed to thrive as a manager data science, and why are they important?

To thrive as a Manager Data Science, you need a deep understanding of statistical analysis, machine learning, and data engineering, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Outstanding leadership, communication, and project management skills set top candidates apart by enabling them to lead cross-functional teams and translate complex data insights into actionable business strategies. These skills are crucial for driving data-driven decision-making and ensuring the successful delivery of analytics initiatives within an organization.
More about Manager Data Science H1B jobs
What cities are hiring for Manager Data Science H1B jobs? Cities with the most Manager Data Science H1B job openings:
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Manager Data Science H1B jobs near you
Infographic showing various Manager Data Science H1B job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 29 days ago

Inland Empire Health Plan rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

259th of 304 rated insurance

Job description

Overview

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!

 

The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Leadership & Strategy
    • Lead and mentor a team of data scientists, ML engineers, and AI specialists.
    • Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
    • Partner with business and technology stakeholders to identify AI use cases that create measurable value.
    • Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
  • Technical & Delivery
    • Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
    • Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
    • Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
    • Ensure scalability and performance of AI solutions within enterprise data platforms.
    • Collaborate with data engineering to optimize data pipelines for AI workloads.
  • Innovation & Research
    • Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate theirrelevance and application.
    • Foster a culture of experimentation, rapid prototyping, and "fail-fast and pivot" approaches.
  • Hire, train, and manage support staff, while monitoring and evaluating outcomes. Conduct performance reviews of each team Member within IEHP guidelines.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
    • Qualifications

    Education & Requirement

    Required:

    • At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
    • Proven track record in leading AI/ML projects from conception to production
    • Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
    • Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
    • Exposure to multimodal AI (text, image, audio, video) applications
    • Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
    • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
      • Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

    Key Qualifications

    • Familiarity with basic principles of distributed computing and/or distributed databases
    • Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
    • Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
    • Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
    • Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
    • Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
    • Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
    • Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
    • Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.

    Start your journey towards a thriving future with IEHP and apply TODAY!

    Work Model Location

    This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)

    Willingness to be on call occasionally to attend to technical issues outside of normal business hours

    Pay RangeUSD $154,128.00 - USD $204,214.40 /Yr.Employment Type: FULL_TIME

    What Inland Empire Health Plan employees say

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