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Senior Data Science Manager Jobs (NOW HIRING)

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

We're responsible for regulating accounting, upholding workplace safety, managing our supply chain ... Extended internal relationships could include those in other Data Science/Data Science-like roles ...

We're responsible for regulating accounting, upholding workplace safety, managing our supply chain ... Extended internal relationships could include those in other Data Science/Data Science-like roles ...

We're responsible for regulating accounting, upholding workplace safety, managing our supply chain ... Extended internal relationships could include those in other Data Science/Data Science-like roles ...

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional ...

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Senior Data Architect ID: 1613 Location: Clarksburg, WV More about this job > Description Data ... management, data purging, and performance tuning. * Support and maintain the N-DEx Data Science ...

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... data science, data management and/or applying data analysis and reporting skills in a business ...

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Senior Data Science Manager information

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$49.5K

$127.1K

$209.5K

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

As of Aug 9, 2026, the average yearly pay for senior data science manager in the United States is $127,122.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $149,000.00 per year, depending on experience, location, and employer.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as a senior data science manager, and why are they important?

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

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

Full-time

Re-posted 13 days ago


Job description

Senior Data ScientistLocation: Fort Meade, MD, 20701
CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above)
Job Description:

We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems.

Responsibilities:
  • Lead the design and implementation of data science projects
  • Develop predictive models and algorithms to drive business decisions
  • Analyze large datasets to uncover insights and trends
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions
  • Communicate findings and recommendations to stakeholders
Requirements:
  • Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field
  • 10+ years of experience in data science or related field
  • Proficiency in programming languages such as Python, R, or Java
  • Data visualization tools (e.g., Power BI, Tableau)
  • Experience with machine learning, statistical analysis, and data mining techniques.
  • Developing AI/ML tools for operational use
  • Experience with machine learning techniques and algorithms
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities