Data Science Manager Visa Sponsorship Jobs in Maryland
Maryland's data science manager market centers on the Baltimore-Washington corridor, where federal contractors, cybersecurity firms, and health systems drive consistent demand. Major employers include Leidos, Booz Allen Hamilton, Johns Hopkins Health System, and the University of Maryland. Many roles here require security clearances alongside technical leadership, making this one of the more specialized state markets for international candidates.
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Get Access To All JobsINTRODUCTION
The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space Telescopes. STScI leads observation planning, data analysis, public engagement, and data archiving for flagship missions. Our staff spans astronomy, engineering, education, IT, communications, and administration—working together to bring space science to the world. STScI is seeking a Leader for the Data Science Mission Office.
Our world-class astronomical research center is based on the Johns Hopkins University Homewood campus in Baltimore, Maryland. This role is eligible for hybrid work and will require three days of on-site presence in our Baltimore office. You must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV).
ROLE AND RESPONSIBILITIES
The Head of the Data Science Mission Office (DSMO) will serve as the senior strategic and scientific leader of the Institute’s data science and AI initiatives. This role shapes and advances the Institute’s vision for leveraging artificial intelligence, machine learning, and advanced data analytics to enable transformative discovery in astronomy.
The Head of DSMO will work with STScI staff and the wider astronomical community to define and drive high-impact initiatives at the intersection of astronomy, data science, engineering and open-source software development. They will lead internal/external initiatives and partnerships to increase data-driven scientific productivity of STScI’s missions, and to innovate in these areas. They will work to expand the scientific value of data holdings, which include the missions STScI directly operates (HST, JWST, Roman and future missions) as well as the multi-mission, multi-wavelength data of the Mikulski Archive for Space Telescopes (MAST), and to lower barriers to scientific discovery. In addition, to leading strategies to enable machine learning and artificial intelligence for scientific research using STScI's data archives and platforms. While ensuring that AI technologies are scientifically rigorous, strategically aligned with the Institute’s mission, and ethically implemented.
Essential Duties & Responsibilities
Strategic Leadership
- Develop, implement and communicate a clear vision for the data science strategy for STScI
- Identify and leverage science-enhancing synergies in data science across STScI missions in collaboration with senior leadership
- Set priorities to explore and deliver new technologies, services, and infrastructures that advance scientific discovery
- Strategically identify and advance high-level organizational priorities for data science
Research & Science Advancement
- Enhance research activities, capabilities, and outcomes for STScI science staff to help them adopt new data science technologies
- Support the broader astronomical community, particularly those working with space missions and archives supported by STScI
- Dedicate a portion of working time to self-directed research
Operations & Data Engineering
- Support improvement of STScI operations and services through modern data management, data engineering, and data science techniques
- Advance capabilities for enabling analysis of peta-scale data archives by the astronomical community
- Foster close partnerships among engineering teams, scientists, and the astronomical community
- Manage the MAST contract and ensure the success of archive initiatives within the purview of that contract
Stakeholder Engagement & Communication
- Represent STScI's work to external partners including government agencies (e.g., NASA), advisory and oversight committees, and the scientific community
- Facilitate consensus from key partners to turn strategic vision into meaningful activities and deliverable results
- Communicate effectively with individuals, teams, and management throughout STScI, AURA, and associated communities
Leadership and Management Responsibilities
- Develop and communicate a clear vision and strategy for the Data Science Mission Office aligned with the Institute's overall
- Provide leadership and guidance to subordinate managers and staff, fostering a culture of collaboration, innovation, and excellence
- Conduct periodic reviews and assessments of Data Science Mission Office policies and procedures
- Provide mentorship and learning environments for staff
Decision Making
- Make informed and timely decisions on strategic and operational matters, balancing short-term needs with long-term goals
- Collaborate with other senior leaders to align decisions with the overall strategic direction of the Institute
Budgetary Planning and Resource Allocation
- Develop and manage Data Science Mission Office budgets, ensuring resources are allocated appropriately to support operational needs and strategic initiatives
- Identify opportunities for cost optimization and efficiency
- Allocate staff and capital resources effectively to meet Data Science Mission Office and organizational objectives
Performance Management
- Establish and monitor key performance indicators (KPIs) to assess the performance of each function within the Data Science Mission
- Implement performance improvement initiatives as necessary
Cross-Functional Collaboration
- Collaborate with other mission and division heads and senior managers to ensure seamless and efficient integration and coordination across the Institute
- Foster a culture of interdisciplinary collaboration to address complex organizational challenges
Risk Management
- Identify and assess risks related to Data Science Mission Office
- Develop and implement risk mitigation strategies to safeguard organizational assets and goals
Stakeholder Engagement
- Build and maintain strong relationships with internal and external stakeholders, including government agencies, partners, and
- Represent the Data Science Mission Office and STScI in external forums and industry events
KNOWLEDGE
Deep knowledge of astronomical data systems, AI/ML research, and data governance. Understanding of ethical and regulatory frameworks for AI use in scientific contexts. Demonstrated experience in budgetary planning and management. Strong knowledge of relevant regulations, compliance standards, and contractual obligations.
SKILLS
Strong scientific writing, technical communication, and public speaking skills. Expertise in advanced data analysis, machine learning pipelines, and scientific software development. Strong communication and interpersonal skills. Excellent organizational and planning skills and time management.
ABILITIES
Ability to synthesize complex scientific and technical domains into a cohesive strategic vision. Successfully navigate institutional, federal, and cross-sector environments with credibility and influence. Inspire collaboration and drive innovation across disciplines.
EDUCATION & EXPERIENCE
- Ph.D. in Astronomy, Astrophysics, Computer Science, Data Science, or a related field
- Significant research and technical experience applying AI/ML to scientific domains, preferably in astronomy
- Demonstrated leadership in complex, interdisciplinary initiatives involving data science, AI infrastructure, or strategic technology planning
- A record of impactful scientific publications and community engagement
The annual salary range for this title is $210-250K. The posted salary range represents a general guideline; however, STScI considers a number of factors when determining base salary offers, such as internal pay equity, the scope and responsibilities of the position, the candidate's experience, education, and skill, and current market conditions.
Candidates are asked to submit one PDF that includes a cover letter, resume/ CV and contact information for three references. References will not be contacted until later in the selection process. In your cover letter, please describe your vision for the future of data science in astronomy, and in particular, how you see data science shaping the future of STScI.
Complete applications received by August 31st will receive full consideration. Reference #: HRC0016182
We offer an excellent and comprehensive benefits package, generous retirement, work life balance and a stimulating and diverse work environment.
Individuals needing assistance with the employment process can contact us at careers@stsci.edu.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
INTRODUCTION
The Space Telescope Science Institute (STScI), operated by the Association of Universities for Research in Astronomy (AURA), is NASA’s science operations center for missions including the Hubble and James Webb Space Telescopes. STScI leads observation planning, data analysis, public engagement, and data archiving for flagship missions. Our staff spans astronomy, engineering, education, IT, communications, and administration—working together to bring space science to the world. STScI is seeking a Leader for the Data Science Mission Office.
Our world-class astronomical research center is based on the Johns Hopkins University Homewood campus in Baltimore, Maryland. This role is eligible for hybrid work and will require three days of on-site presence in our Baltimore office. You must reside in or be willing to relocate to our local market. (MD, DE, VA, PA, DC & WV).
ROLE AND RESPONSIBILITIES
The Head of the Data Science Mission Office (DSMO) will serve as the senior strategic and scientific leader of the Institute’s data science and AI initiatives. This role shapes and advances the Institute’s vision for leveraging artificial intelligence, machine learning, and advanced data analytics to enable transformative discovery in astronomy.
The Head of DSMO will work with STScI staff and the wider astronomical community to define and drive high-impact initiatives at the intersection of astronomy, data science, engineering and open-source software development. They will lead internal/external initiatives and partnerships to increase data-driven scientific productivity of STScI’s missions, and to innovate in these areas. They will work to expand the scientific value of data holdings, which include the missions STScI directly operates (HST, JWST, Roman and future missions) as well as the multi-mission, multi-wavelength data of the Mikulski Archive for Space Telescopes (MAST), and to lower barriers to scientific discovery. In addition, to leading strategies to enable machine learning and artificial intelligence for scientific research using STScI's data archives and platforms. While ensuring that AI technologies are scientifically rigorous, strategically aligned with the Institute’s mission, and ethically implemented.
Essential Duties & Responsibilities
Strategic Leadership
- Develop, implement and communicate a clear vision for the data science strategy for STScI
- Identify and leverage science-enhancing synergies in data science across STScI missions in collaboration with senior leadership
- Set priorities to explore and deliver new technologies, services, and infrastructures that advance scientific discovery
- Strategically identify and advance high-level organizational priorities for data science
Research & Science Advancement
- Enhance research activities, capabilities, and outcomes for STScI science staff to help them adopt new data science technologies
- Support the broader astronomical community, particularly those working with space missions and archives supported by STScI
- Dedicate a portion of working time to self-directed research
Operations & Data Engineering
- Support improvement of STScI operations and services through modern data management, data engineering, and data science techniques
- Advance capabilities for enabling analysis of peta-scale data archives by the astronomical community
- Foster close partnerships among engineering teams, scientists, and the astronomical community
- Manage the MAST contract and ensure the success of archive initiatives within the purview of that contract
Stakeholder Engagement & Communication
- Represent STScI's work to external partners including government agencies (e.g., NASA), advisory and oversight committees, and the scientific community
- Facilitate consensus from key partners to turn strategic vision into meaningful activities and deliverable results
- Communicate effectively with individuals, teams, and management throughout STScI, AURA, and associated communities
Leadership and Management Responsibilities
- Develop and communicate a clear vision and strategy for the Data Science Mission Office aligned with the Institute's overall
- Provide leadership and guidance to subordinate managers and staff, fostering a culture of collaboration, innovation, and excellence
- Conduct periodic reviews and assessments of Data Science Mission Office policies and procedures
- Provide mentorship and learning environments for staff
Decision Making
- Make informed and timely decisions on strategic and operational matters, balancing short-term needs with long-term goals
- Collaborate with other senior leaders to align decisions with the overall strategic direction of the Institute
Budgetary Planning and Resource Allocation
- Develop and manage Data Science Mission Office budgets, ensuring resources are allocated appropriately to support operational needs and strategic initiatives
- Identify opportunities for cost optimization and efficiency
- Allocate staff and capital resources effectively to meet Data Science Mission Office and organizational objectives
Performance Management
- Establish and monitor key performance indicators (KPIs) to assess the performance of each function within the Data Science Mission
- Implement performance improvement initiatives as necessary
Cross-Functional Collaboration
- Collaborate with other mission and division heads and senior managers to ensure seamless and efficient integration and coordination across the Institute
- Foster a culture of interdisciplinary collaboration to address complex organizational challenges
Risk Management
- Identify and assess risks related to Data Science Mission Office
- Develop and implement risk mitigation strategies to safeguard organizational assets and goals
Stakeholder Engagement
- Build and maintain strong relationships with internal and external stakeholders, including government agencies, partners, and
- Represent the Data Science Mission Office and STScI in external forums and industry events
KNOWLEDGE
Deep knowledge of astronomical data systems, AI/ML research, and data governance. Understanding of ethical and regulatory frameworks for AI use in scientific contexts. Demonstrated experience in budgetary planning and management. Strong knowledge of relevant regulations, compliance standards, and contractual obligations.
SKILLS
Strong scientific writing, technical communication, and public speaking skills. Expertise in advanced data analysis, machine learning pipelines, and scientific software development. Strong communication and interpersonal skills. Excellent organizational and planning skills and time management.
ABILITIES
Ability to synthesize complex scientific and technical domains into a cohesive strategic vision. Successfully navigate institutional, federal, and cross-sector environments with credibility and influence. Inspire collaboration and drive innovation across disciplines.
EDUCATION & EXPERIENCE
- Ph.D. in Astronomy, Astrophysics, Computer Science, Data Science, or a related field
- Significant research and technical experience applying AI/ML to scientific domains, preferably in astronomy
- Demonstrated leadership in complex, interdisciplinary initiatives involving data science, AI infrastructure, or strategic technology planning
- A record of impactful scientific publications and community engagement
The annual salary range for this title is $210-250K. The posted salary range represents a general guideline; however, STScI considers a number of factors when determining base salary offers, such as internal pay equity, the scope and responsibilities of the position, the candidate's experience, education, and skill, and current market conditions.
Candidates are asked to submit one PDF that includes a cover letter, resume/ CV and contact information for three references. References will not be contacted until later in the selection process. In your cover letter, please describe your vision for the future of data science in astronomy, and in particular, how you see data science shaping the future of STScI.
Complete applications received by August 31st will receive full consideration. Reference #: HRC0016182
We offer an excellent and comprehensive benefits package, generous retirement, work life balance and a stimulating and diverse work environment.
Individuals needing assistance with the employment process can contact us at careers@stsci.edu.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Data Science Manager Job Roles in Maryland
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Search Data Science Manager Jobs in MarylandData Science Manager Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data science managers in Maryland?
Federal contractors and health systems are the most active sponsors in Maryland. Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman regularly file H-1B visa petitions for data science leadership roles. On the healthcare side, Johns Hopkins Health System and MedStar Health sponsor data science managers tied to clinical analytics and research programs. University of Maryland and UMBC also sponsor through academic and research divisions.
Which visa types are most common for data science manager roles in Maryland?
The H-1B is the primary visa category for data science managers in Maryland, given the role consistently qualifies as a specialty occupation requiring a bachelor's degree or higher in a directly related field. Candidates with exceptional research records may pursue the O-1A. Nationals from Canada or Mexico may qualify for TN visa status under the 'Systems Analyst' or 'Computer Systems Analyst' category, though manager-level roles warrant careful review of TN eligibility.
Which cities in Maryland have the most data science manager sponsorship jobs?
The Bethesda and Rockville corridor in Montgomery County concentrates the highest volume of data science manager roles, driven by proximity to federal agencies like NIH and FDA. Baltimore follows closely, anchored by Johns Hopkins, University of Maryland Medical Center, and financial services firms. Columbia and Annapolis Junction also see demand from defense and intelligence contractors operating in the I-95 corridor between the two cities.
How to find data science manager visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically for visa sponsorship, making it straightforward to find data science manager roles in Maryland without sorting through positions that don't sponsor. You can narrow results by state and role to surface active openings at Maryland's major employers, including federal contractors and health systems. Filtering by sponsorship history helps prioritize employers with established H-1B programs rather than those with no prior filings.
Are there state-specific factors that affect data science manager sponsorship in Maryland?
Maryland's heavy concentration of federal contractors introduces a factor most states don't have: many data science manager roles require active security clearances, which generally cannot be obtained by non-U.S. citizens or permanent residents. This narrows the sponsoring employer pool compared to commercial tech markets. Candidates without clearance eligibility typically focus on healthcare systems, university research centers, and commercial firms in the Baltimore and Bethesda areas, where clearance requirements are less common.
What is the prevailing wage for sponsored data science manager jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.