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Manager Of Data Science Jobs (NOW HIRING)

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... of data governance data security privacy principles and responsible data management. * Experience ...

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal Care products, operating in over 190 countries and reaching more than 2 billion consumers every day.

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

About the team As part of a growing team of Data Scientists, you will take on some of the hardest ... Exceptional communication and stakeholder-management skills with the ability to influence technical ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Manager of Data Engineering

Brooklyn, NY · On-site

$200K - $220K/yr

Moda Operandi is seeking a hands-on Manager of Data Engineering to lead the data engineering function supporting Moda Operandi, a luxury e-commerce business. This role is a player-coach who owns the ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Lead delivery of data science and data engineering initiatives Manage and mentor a team of data scientists and engineers Design and deploy scalable analytics and ML solutions Collaborate with ...

Responsibilities : • Lead a team of data scientists working on high-impact marketplace problems ... Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the ...

Lead and develop a team of data scientists responsible for high-impact analytics, predictive ... You have experience managing and developing data scientists or analysts and know how to set a high ...

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of ...

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Manager Of Data Science information

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$31K

$97.1K

$172K

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

As of Jul 6, 2026, the average yearly pay for manager of data science 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 is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a Manager of Data Science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

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

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a Manager of Data Science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What does a data scientist manager do?

A data scientist manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often utilizing tools like Python, R, or SQL, and may require leadership and communication skills alongside technical expertise.

How much do data scientist managers make?

Data science manager salaries typically range from $110,000 to $180,000 annually, depending on experience, location, and company size. Senior managers or those in high-demand industries can earn over $200,000, often with additional bonuses and stock options.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that roughly 80% of effects come from 20% of causes. In data science, it often means focusing on the most impactful features or data points to improve model performance efficiently.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Director of Data Science, Chief Data Officer, or Lead Data Scientist, with salaries exceeding $150,000 annually and sometimes reaching over $200,000 with bonuses and stock options. These roles typically require extensive experience, advanced skills in machine learning, big data tools, and leadership abilities.
What cities are hiring for Manager Of Data Science jobs? Cities with the most Manager Of Data Science job openings:
What are the most commonly searched types of Of Data Science jobs? The most popular types of Of Data Science jobs are:
What states have the most Manager Of Data Science jobs? States with the most job openings for Manager Of Data Science jobs include:

Data Science SME

JCTM, LLC

Quantico, VA • On-site

$119K - $133K/yr

Full-time

Posted 21 days ago


Job description

The Challenge:

The effective use of data is central to preparing Marine Corps forces for the future operating environment. What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness across the Marine Air-Ground Task Force?

Build Your Career:

At JCTM we value knowledge experience integrity and commitment. Joining our team means becoming part of an organization that empowers individuals prioritizes ethical practices and fosters a culture of collaboration and growth.

Challenging Projects:

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and leadership in the application of data science methodologies tools and techniques to advance Marine Corps warfighting concepts and capabilities. This position requires a deep understanding of data science principles strong analytical and problem-solving skills and the ability to translate complex data into actionable insights for operational and senior leader audiences. You will support the Marine Corps Warfighting Lab in identifying evaluating and applying emerging data-driven technologies to improve MAGTF effectiveness.

Key Responsibilities:

  • Serve as the primary technical expert on data science methodologies tools and techniques for MCWL projects initiatives experiments and exercises.
  • Identify and evaluate emerging data science technologies and assess their potential application to Marine Corps warfighting challenges.
  • Develop and implement data-driven solutions to improve MAGTF operational effectiveness including predictive analytics machine learning and artificial intelligence applications.
  • Design execute and optimize data collection processing and analysis pipelines while ensuring data quality integrity governance and security.
  • Develop and apply advanced analytical methods to extract meaningful insights from large structured and unstructured datasets.
  • Collaborate with data engineers software developers cloud engineers operational planners and other technical experts to build deploy and evaluate data-driven solutions.
  • Communicate complex technical concepts findings and recommendations to both technical and non-technical audiences including senior military leaders.
  • Conduct research and analysis on relevant data science topics maintaining awareness of the latest developments trends tools and techniques.
  • Support the development of data science training programs and knowledge-sharing activities for Marine Corps personnel.
  • Participate in war games experiments exercises and other operational assessments to evaluate the effectiveness of data-driven capabilities.
  • Provide expert advice and guidance on data governance data security data privacy and responsible use of artificial intelligence and machine learning capabilities.
  • Maintain awareness of and compliance with all applicable data security regulations policies and classification requirements.
  • Integrate data science capabilities with cloud-based infrastructure platforms and modern analytics environments.
  • Travel to various locations as required to support MCWL projects initiatives experiments and operational activities.

State-of-the-Art Technology:

Expand your expertise by working with cutting-edge technologies and methodologies optimizing their application in a dynamic environment.

New Skills:

Collaborate with a diverse team of technical and functional experts gaining practical experience with advanced tools technologies and strategic-level implementations.

Room to Grow:

You will have opportunities to grow your career and contribute to the company's strategic goals supported by mentorship and a collaborative work environment.

You Have:

  • Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field.
  • 5+ years of experience applying data science methodologies tools and techniques to solve real-world problems.
  • Demonstrated expertise in data mining machine learning statistical modeling predictive analytics and data visualization.
  • Experience working with large datasets distributed computing platforms and modern analytics environments.
  • Strong understanding of data governance data security privacy principles and responsible data management.
  • Experience developing data pipelines analytical workflows and repeatable processes to support decision-making.
  • Ability to translate complex data and technical findings into actionable insights for operational technical and senior leader audiences.
  • Excellent communication presentation analytical and interpersonal skills.
  • Ability to work independently and as part of a multidisciplinary team in a mission-focused environment.
  • Knowledge of the Marine Corps MAGTF organization operations and warfighting concepts.
  • U.S. Citizenship.
  • Ability to travel up to 25% in support of mission requirements.

Nice to Haves:

  • Active TS/SCI security clearance.
  • Master's or Doctoral degree in Computer Science Data Science Mathematics Statistics Operations Research or a related technical field.
  • Experience with cloud-based data science platforms and cloud-native analytics tools.
  • Experience with artificial intelligence machine learning model development and deployment.
  • Experience with natural language processing.
  • Prior military experience particularly within the Marine Corps.
  • Familiarity with Marine Corps data systems processes experimentation environments and operational planning activities.

Clearance:

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance is desired.

Equal Opportunity Employer Statement:

JCTM is an Equal Opportunity Employer that empowers our people to fearlessly drive internal and external change while supporting the safety and security of our great nation.