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Head Data Scientist Jobs (NOW HIRING)

Emory University

Head, Data Services

Atlanta, GA · On-site

A master's degree in library and information science and/or an advanced degree in a relevant ... Head, Data Services Date: January 13, 2026 Time: 2:00-3:00 PM (ET) Details: Learn more about the ...

C10 Labs

Please Read Before Applying This is an early-stage, hands-on builder role with a path to Head / Chief Data Scientist as the company scales. We are only considering candidates who: * Have worked in ...

Ocean Bay LLC

Data Scientist (5618)

Indian Head, MD · On-site

Ghostrock Systems Development LLC, a subsidiary of Three Saints Bay, LLC and a Federal Government Contractor industry leader is searching for a Data Scientist to join our Team in Indian Head, MD.

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

Kikoff

Marketing Data Scientist

San Francisco, CA

You'll work at the intersection of causal inference, channel economics, and attribution, partnering closely with Growth leadership and our Head of Marketing Data Science. Responsibilities * Own ...

NCSU

Data Science Librarian

Raleigh, NC

This position reports to the Department Head, Data Science Services. This position is based in North Carolina. This position is eligible for flexible hours with a hybrid work environment. This ...

Nova Credit

Senior Data Scientist

New York, NY · On-site

$168K - $199K/yr

This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science. RESPONSIBILITIES: * Research and develop ...

Nova Credit

Senior Data Scientist

New York, NY · Hybrid

$168K - $199K/yr

This is a full-time, NYC-based hybrid role (3 days per week in office on Mondays, Tuesdays, and Thursdays) reporting directly to the Head of Data Science. RESPONSIBILITIES: * Research and develop ...

Novella

Insurance Data Scientist

New York, NY · On-site

Partner with our Head of Programs teams to translate model outputs into actionable underwriting ... What We're Looking For * 7+ years in data science or actuarial science, with significant time spent ...

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Head Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do head data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for head data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Head Data Scientist typically balance hands-on technical work with leadership responsibilities?

As a Head Data Scientist, you'll often split your time between high-level strategy, team leadership, and advanced technical problem-solving. While you'll guide project direction, mentor junior scientists, and collaborate with stakeholders, you'll also be expected to stay engaged with the latest analytical techniques and occasionally contribute directly to model development or code reviews. Striking this balance requires excellent time management and the ability to delegate effectively while ensuring technical standards remain high. Regular communication with both your team and other departments is essential to align data initiatives with business goals.

What is the difference between Head Data Scientist vs Data Scientist?

AspectHead Data ScientistData Scientist
CredentialsMaster's or PhD in Data Science, Statistics, or related fieldsBachelor's or Master's in relevant fields
Work EnvironmentLeads teams, strategic planning, oversees projectsExecutes data analysis, builds models, reports findings
Industry UsageCommonly found in organizations with large data teamsWidespread across industries for data analysis roles

The Head Data Scientist focuses on leadership, strategy, and overseeing data initiatives, while the Data Scientist primarily handles hands-on data analysis and modeling. Both roles require strong technical skills, but the Head Data Scientist has additional responsibilities in team management and strategic planning.

What are Head Data Scientists?

Head Data Scientists are senior professionals who lead data science teams in analyzing large datasets to extract insights, drive decision-making, and solve complex business problems. They set the strategic direction for data science initiatives, collaborate with other departments, and ensure that data-driven solutions align with organizational goals. In addition to overseeing technical work, they also mentor team members, manage projects, and often communicate findings to executive leadership.

What are the key skills and qualifications needed to thrive as a Head Data Scientist, and why are they important?

A Head Data Scientist needs deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, cloud platforms, big data tools, and experience leading data science projects are crucial. Strong leadership, strategic thinking, and communication skills help guide teams and align data initiatives with business goals. These competencies ensure effective team management, innovative solutions, and measurable business impact from data-driven strategies.
More about Head Data Scientist jobs
What cities are hiring for Head Data Scientist jobs? Cities with the most Head Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Head Data Scientist jobs? States with the most job openings for Head Data Scientist jobs include:
What job categories do people searching Head Data Scientist jobs look for? The top searched job categories for Head Data Scientist jobs are:
Head Data Scientist jobs near you
Infographic showing various Head Data Scientist job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 4% Part Time, 4% Temporary, 4% Contract, and 4% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Head, Data Services

Head, Data Services

Emory University

Atlanta, GA • On-site

Full-time

Posted 3 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

159th of 871 rated healthcare providers

Job description

Description
Position Summary
Reporting to the Director of Collections and Open Strategies within the Research, Engagement, and Scholarly Communications (RESC) division and overseeing a new team of experienced data specialists, the Head of Data Services provides strategic leadership and operational oversight for the Libraries' data-related services. This highly collaborative position advances the library's mission to support research, teaching, and learning by developing, managing, delivering and promoting scalable and aligned services in such areas as research data management, data literacy, data visualization, geospatial data, and computational research support. The Head works closely with library leadership to ensure the library remains agile and responsive to the evolving data needs across disciplines. It collaborates extensively with campus partners, including the Office of Information Technology, relevant research departments, and research offices to meet these needs.
Essential Responsibilities & Duties
Administration and Managerial Responsibilities
  • Manage a team by developing a plan based on assessment of university programs, staffing, and collections.
  • Support a matrix approach to data services, partnering with groups such as subject librarians, the Woodruff Health Sciences Center Library (WHSCL) and Emory Center for Digital Scholarship (ECDS)
  • Partner and collaborate with campus stakeholders (e.g., IT, research offices, academic departments) to support interdisciplinary data initiatives.
  • Coordinate recruiting, hiring, orientation, training, supervision, evaluation, and development of staff and student employees.
  • Work with existing data team members to identify priorities for additional data support staff.
  • Provide coaching, mentoring, and guidance to direct reports while encouraging effective communication and collaboration across the team.

Data Services
  • Oversee daily operations, budget planning, and resource allocation for the Research Data Services team.
  • Develop and promote data services and programming related to the full research data cycle across the library and campus.
  • Contribute to the team's portfolio of services by providing consultations and instruction in at least one of these areas: data visualization, qualitative research methods, data cleaning support, methods and analytics support, or text and data mining.
  • Identify emerging trends and assess user needs to develop new or enhanced services and resources related to data services.

Professional Responsibilities
  • Participate in professional and scholarly associations; maintain membership and accreditation; participate in meetings, conferences, and workshops; serve in appointed or elected positions.
  • Maintain up-to-date professional knowledge and skills related to job responsibilities and current trends in higher education, academic libraries, and information technology.
  • Adhere to guidelines in the Emory Handbook Governing the Librarian series for Faculty-Equivalent Librarians regarding appointment, renewal, and promotion.
  • Participate in library and campus committees.

Qualifications
Required Qualifications
  • A master's degree in library and information science and/or an advanced degree in a relevant discipline.
  • Three years of managerial or supervisory experience or equivalent.
  • Five or more years of experience and expertise working in data services/support (quantitative, qualitative, textual, geospatial), research data management, or closely related area within an academic or research setting.
  • Demonstrated commitment to the provision of high-quality service and instruction.

Preferred Qualifications
  • Ability and enthusiasm for teaching data tools and methods to university researchers across multiple levels and disciplines via multiple modes (in-person, online, group settings, one-on-one).
  • Familiarity with data support tools.
  • Background that demonstrates proficiency with tools for working with qualitative and/or quantitative data (e.g., R, STATA, NVivo, MAXQDA, etc).
  • Familiarity working with scripting languages such as R or Python for data management and cleanup.
  • Familiarity with AI applications within the data services environment.

Join Our Information Session: Head, Data Services
Date: January 13, 2026
Time: 2:00-3:00 PM (ET)
Details: Learn more about the position, our data initiatives, and what we're seeking in the next Head of Data Services.
If you're interested and available to join, please register here to receive the Zoom webinar link:
Head of Data Services Information Session
Application Instructions
Interested candidates should review the application requirements and apply online at
{https://apply.interfolio.com/177574}
Applications may be submitted as Word or PDF attachments and must include:
1) A cover letter that includes a statement of interest, describing your qualifications and relevant experience, as well as your interest in this position and in contributing to the mission and values of Emory.
2) A current resume or curriculum vitae (CV) detailing your educational background and relevant professional experience.
3) On a separate document list the names, email addresses, and telephone numbers of 3 professional references including a current or previous supervisor.
Candidates applying by January 26, 2026 will receive priority consideration. Review of applications will continue until the position is successfully filled. Emory is an Equal Opportunity/Affirmative Action Employer and encourages applications and nominations from women, minorities, people with disabilities, and veterans.

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