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Data Science Manager Jobs in Westminster, MD (NOW HIRING)

Information / Data Architect

Owings Mills, MD

$61.25 - $78.75/hr

Our services span all aspects of business, providing a holistic approach for managing an ... Additional exposure to machine learning & data science techniques would be a big plus. Demonstrated ...

Secondary Math & Science

Eldersburg, MD · On-site

$47K - $63K/yr

Monitor student progress using data to inform instruction and provide targeted intervention or ... Work may require flexibility to move throughout the school and manage laboratory and instructional ...

Secondary Math & Science

Sykesville, MD · On-site

$47K - $63K/yr

Monitor student progress using data to inform instruction and provide targeted intervention or ... Work may require flexibility to move throughout the school and manage laboratory and instructional ...

Secondary Math & Science

Eldersburg, MD

$47K - $63K/yr

Monitor student progress using data to inform instruction and provide targeted intervention or ... Work may require flexibility to move throughout the school and manage laboratory and instructional ...

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Showing results 1-20

Data Science Manager information

See Westminster, MD salary details

$29.8K

$93.4K

$165.3K

How much do data science manager jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data science manager in Westminster, MD is $93,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $120,600.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science 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 requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Westminster, MD? The most popular types of Data Science jobs in Westminster, MD are:
What job categories do people searching Data Science Manager jobs in Westminster, MD look for? The top searched job categories for Data Science Manager jobs in Westminster, MD are:
What cities near Westminster, MD are hiring for Data Science Manager jobs? Cities near Westminster, MD with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Westminster, MD as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $93,353 per year, or $44.9 per hour.

$119K/yr

Other

Re-posted 5 days ago


Job description

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Center for Program Integrity (CPI), Division of Investigative &Bus Analytics (DIBA).
As a Data Scientist, GS-1560-13, you will serve as a senior advisor as well as lead a cross-functional teams composed of professionals skilled in policy analysis, information technology, data engineering, and project management disciplines, in order to develop data-driven solutions.Qualifications:ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from receiving further consideration.

In order to qualify for the GS-13, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:
  1. Developing and applying analytical models or algorithms using advanced programming languages to analyze complex datasets for the purpose of detecting fraud, waste and abuse; AND
  2. Communicating highly technical complex analytical findings to multiple audiences through written reports or oral presentations; AND
  3. Providing advice or guidance to management on establishing or enhancing standard procedures for data collection, analysis, interpretation, and reporting.
Substitution of Education for Experience: There is no substitution of education to meet the specialized experience requirement at the GS-13 grade level.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
-OR-
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown above, plus additional education or appropriate experience.
TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/13004331Employment Type: OTHER