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Manager Data Science H1B Jobs (NOW HIRING)

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 ...

Role overview The Manager, Data Science will lead an Inventory & Dealer Data Science team focused on developing, deploying, and optimizing machine learning models that power CarGurus' products and ...

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 ...

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 ...

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 ...

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.

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 ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will ...

OverviewThe Data Science Manager II will lead a team focused on delivering business insights using data science expertise/techniques/tools that materially improve critical decisions by senior ...

Role Summary As a Manager of Data Science at OneMagnify, you'll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You'll sit at the center of our ...

Role Summary As a Manager of Data Science at OneMagnify, you'll lead a team focused on turning complex data into decisions that drive measurable business outcomes. You'll sit at the center of our ...

Senior Manager, Data Science

Hayward, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

Senior Manager, Data Science

Milpitas, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

Manager, Data Science Location: Charlotte, NC (Hybrid) We are seeking a Manager to join our Data Science team in Charlotte, NC. This is an exciting opportunity to develop and manage an integrative ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

Senior Manager, Data Science

San Jose, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning practitioners responsible for delivering advanced analytics, AI, and machine learning solutions that ...

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Manager Data Science H1B information

See salary details

$31K

$97.1K

$172K

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

As of Jun 29, 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:
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 Manager Data Science H1B jobs? States with the most job openings for Manager Data Science H1B jobs include:
Infographic showing various Manager Data Science H1B job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 75% Full Time, and 22% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Manager, Data Science

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


OneMain Financial rating

7.6

Company rating: 7.6 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

106th of 139 rated financial services


Job description

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 team.

Successful candidates will be willing to challenge assumptions and bring fresh ideas, own projects from inception to production, and collaborate with internal partners to improve customer experience and drive OneMain's financial performance.

Example projects include building underwriting models for our core personal loans business; evaluating new data sources, technologies, and model-building techniques; and developing algorithmic solutions to automate income verification.

Key qualities include creativity, clarity in communication, ability to strike a balance between speed to market and quality of delivery, and a willingness to seek out or develop new tools and ideas. Bring your individual strengths, knowledge, and interests to bear on the problems we tackle. Propose new ideas. Pursue some of them.

Responsibilities:

  • Identify high impact opportunities where a model or data-related solution can provide large leverage. Then design, build, validate, implement, monitor, and improve that data science solution.
  • Identify new data sources, new technologies, new techniques, and new insights that will create value for our customers and lines of business.
  • Promote best practices for model development and software design.
  • Communicate and collaborate with cross-functional partners.
  • Work with third-party vendor partners to evaluate data and products and integrate those that that show promise into our data science practices and platforms.
  • Develop testing & control procedures to ensure execution accuracy and effective post-implementation monitoring.
  • Independently complete analyses, draw conclusions, and present results to influence business & strategy decisions.
  • Unlock insights from non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, and digital data.

Requirements:

Technical skills
  • Proven experience with data analysis and coding equivalent to 4+ years of experience working as a data scientist
  • Applied experience with a variety of modeling techniques like regression, boosted decision trees, deep learning, NLP, and so forth
  • Strong software development skills covering design, algorithms, optimization, testing, and source control
  • Hands-on experience with building self-contained solutions with clear interfaces
  • Demonstrable mathematical and algorithmic aptitude
Communication
  • Outstanding communication skills with the comfort to interact with all levels with clarity and at an appropriate level of detail
  • Ability to identify and convey the essential information in every communication
  • Ability to understand the business intent behind every project and tell the story around it
  • Willingness to propose and defend ideas
Collaboration
  • Experience working in cross-functional teams across a large, multi-stakeholder organization
  • Ability to work with a high degree of autonomy: can resolve or escalate issues appropriately; can fill in the gaps when requirements are incomplete
  • Ability to work with teams of diverse individuals focused on several disparate projects simultaneously
Risk management mindset
  • Can foresee risks and potential points of failure in a data science system and appropriately mitigate or manage them
    • Anticipate weaknesses in models, software, and systems
    • Use defensive practices to build robust products (e.g. testing, code review)
    • Minimize surface area for failure (develop around clear interfaces, use well-understood tools, minimize external dependencies)
    • Prepare for the unexpected (fail fast with clear error messages, develop failure contingency plans)
    • Understand the importance of monitoring production systems and setting up clear alert systems
  • Appropriately balance the tradeoffs between the use of cutting-edge enterprise systems vs. simple and familiar tooling

Who We Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

  • Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances

  • Up to 4% matching 401(k)

  • Employee Stock Purchase Plan (10% share discount)

  • Tuition reimbursement

  • Paid time off (15 days' vacation per year)

  • Paid sick leave as determined by state or local ordinance, prorated based on start date

  • Paid holidays (11 days per year, based on start date)

  • Paid volunteer time (3 days per year, prorated based on start date)

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.


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