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Head Data Science Jobs (NOW HIRING)

The Mission As Binance's Global Head of AI , you will architect and lead the intelligence layer of ... Lead and scale Binance's AI and Algorithm organization - a cross-disciplinary team of scientists ...

We're looking for a strategic, technical, and data-obsessed leader to own both our growth engine and our data science function. You'll lead end-to-end growth initiatives-from acquisition and ...

We're looking for a strategic, technical, and data-obsessed leader to own both our growth engine and our data science function. You'll lead end-to-end growth initiatives-from acquisition and ...

Head of Data

San Francisco, CA · On-site

$398K - $486K/yr

About the Role As Head of Data, you will own the data strategy and execution across the ... Manage, coach, and develop a team of 15+ data scientists and engineers, including direct reports ...

Our partner is looking for a Head of Data Science & Credit Risk based in Netherlands. This is a high-impact leadership role at the intersection of machine learning, credit risk, and financial ...

This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions. What you'll Do ...

This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions. What you'll Do ...

This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions. What you'll Do ...

This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions. What you'll Do ...

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Head Data Science information

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$37.5K

$122.7K

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How much do head data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for head data science 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.

What does a Head of Data Science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a Head of Data Science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

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

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What cities are hiring for Head Data Science jobs? Cities with the most Head Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Head Data Science jobs? States with the most job openings for Head Data Science jobs include:

Team Operations - Head of Sports Science

ocsc

Kissimmee, FL

Other

Posted 12 days ago


Job description

TITLE: Academy Head of Sports Science 

DEPARTMENT: Team Operations 

REPORTS TO: Head of Sports Science 

FLSA: Full-Time, Salaried, Exempt

 

WHAT SETS YOU APART

The Academy Head of Sports Science uses player health and performance data to safeguard players' health and safety and improve their on-field performance. Drawing on expertise across sports science, data science, and data visualization, this role facilitates conversations, generates insights, and develops programming for players in the performance, injury-prevention, medical, and return-to-play areas. Responsibilities include, but are not limited to, collecting and presenting data on player health and performance; conducting testing where certified or licensed to do so; and managing and integrating performance and medical datasets.

 

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Manage all incoming sports science data streams, including in-training and in-game tracking, and develop reporting structures around data collection.
  • Integrate performance and medical datasets, ensuring data quality and consistency across sources.
  • Collect, analyze, and present data on player health and performance, and provide clear feedback to players and staff.
  • Design, modify, and apply assessment protocols to analyze the demands of the sport and the capabilities of Academy players.
  • Evaluate player performance through performance testing, workload monitoring, and other team-specific metrics, within the scope of certification.
  • Manage, design, and implement weight-room physical testing protocols within the scope of certification.
  • Collaborate with Strength and Conditioning teammates to design and administer individualized pre-training activation protocols and in-season strength training sessions.
  • Educate and counsel players on strategies to improve performance, within the scope of practice.
  • Work with Strength and Conditioning and the wider department to deliver activation and regeneration sessions as needed.
  • Support Strength and Conditioning with on-field warm-ups for team training sessions when required.
  • Support Strength and Conditioning and Club Medical Staff with end-stage rehabilitation sessions when required.
  • Maintain the appearance and organization of equipment in the weight facility, and educate players on and enforce weight-room rules.
  • Other duties as assigned.

 

QUALIFICATIONS

It's never just a job at Orlando City SC. It's a way of life. We live and breathe soccer, and we believe each role is as unique as the person who fills it. To join our team, you will also bring the following qualifications:

  • Bachelor's degree in Exercise Science, Sports Science, or a related field required; Master's or Ph.D. in Sports Science highly preferred.
  • Minimum of 3 years of professional or college experience, preferably within MLS or another elite-level soccer organization.
  • Certified Performance and Sport Scientist (CPSS) credential from the National Strength and Conditioning Association (NSCA) required.
  • Experience using sports science technologies such as GPS or player-tracking devices, heart-rate monitoring, force-plate technology, and sprint-profiling tools.
  • Demonstrated ability to communicate effectively across a variety of media and with diverse audiences.
  • Proficiency in Microsoft applications and data visualization platforms.
  • Bilingual skills are a plus.
  • Ability to work flexible hours, including nights, weekends, and holidays.
  • Ability to attain and maintain SafeSport certification.
  • Ability to pass a background check.