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Computer Science Data Science Jobs in Owings Mills, MD

Education: Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced ...

Education: Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced ...

Education: Bachelor's degree in data science, computer science, statistics, mathematics, engineering, operations research, information systems, analytics, or a related technical field. Advanced ...

Senior Data Scientist

Silver Spring, MD · On-site

$107K - $195K/yr

Bachelor's degree in Computer Science, Data Science, or related field and 8-12 years of relevant experience, or Master's with 6-10 years of experience. * Must possess an Active Top Secret/SCI ...

New

This role involves leveraging your computer science expertise to develop and sustain analytics tools. The Level 3 Data Scientist shall possess the following capabilities: * Employ must have some ...

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

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Computer Science Data Science information

See Owings Mills, MD salary details

$36K

$117.9K

$188.7K

How much do computer science data science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for computer science data science in Owings Mills, MD is $117,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
What job categories do people searching Computer Science Data Science jobs in Owings Mills, MD look for? The top searched job categories for Computer Science Data Science jobs in Owings Mills, MD are:

$140K/yr

Other

Re-posted 4 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), Data Analytics & Systems Group, Division of Modeling & Analytics (DMA) .
As a Data Scientist, GS-1560-14, you will lead/run studies by gathering, examining, and understanding complex CMS data using different tools and advanced methods like machine learning and artificial intelligence to spot fraud and patterns in Medicare and Medicaid.Qualifications:ALL QUALIFICATION REQUIREMENTS MUST BE MET WITHIN 30 DAYS OF 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 being considered further.

Applicants must demonstrate that they meet the Basic Requirements as noted below.
A. Possess a 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
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
Minimum Qualifications, GS-14:
In addition to the mandatory education described above under Basic Requirements applicants must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-13 grade level in the Federal government, obtained in either the private or public sector, to include: (1) Executing, leading, or controlling projects to develop statistical models for data analysis and/or devise innovative analytic solutions to program integrity related issues; (2) Designing, implementing, and/or evaluating machine learning and other artificial intelligence tools to extract insights from unstructured and multidimensional data; and (3) Presenting clear and concise findings to a wide variety of audiences using data visualization tools, programming languages, and/or software applications to support evidence-based recommendations.
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.
Time-in-Grade: To be eligible, current Federal employees must have served at least 52 weeks (one year) at the next lower grade level from the position/grade level(s) to which they are applying.Education:Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:
A. Possess a 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
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. 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/13019781Employment Type: OTHER