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Data Science Certificate Jobs (NOW HIRING)

... science or related field * Experience building solutions with Azure AI Services (OpenAI, Vision, Speech, etc.), Microsoft Fabric or Azure Data Factory. * AI-102 (Microsoft Certified: Azure AI ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Desirable but not required certifications include AWS Certified Machine Learning - Specialty ...

SOSi is seeking a Data Science Lead to support mission requirements for a structured approach to ... Desirable but not required certifications include AWS Certified Machine Learning - Specialty ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

... form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

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Data Science Certificate information

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$37.5K

$122.7K

$196.5K

How much do data science certificate jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data science certificate 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.

Is a data science certificate worth IT?

A data science certificate can enhance a data scientist's credentials by demonstrating proficiency in key skills like machine learning, programming, and data analysis. While it can improve job prospects and salary potential, practical experience and a strong portfolio are also important for success in data science roles.

What is a Data Science Certificate job?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

Is 40 too late for data science?

Data science certificates can be pursued at any age, including at 40, as the field values skills like programming, statistics, and data analysis. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.

What are some typical projects or daily responsibilities for someone who has earned a Data Science Certificate?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What certifications make 100k a year?

In data science, earning a six-figure salary often requires advanced certifications such as Certified Data Scientist, Certified Analytics Professional, or specialized training in machine learning and big data tools. Combining these certifications with strong programming skills in Python or R and experience with cloud platforms can help data scientists reach or exceed a $100,000 annual salary.

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

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What jobs can I get with a certificate in data science?

A data science certificate can qualify you for roles such as data analyst, data scientist, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often utilizing tools like SQL and Tableau.
More about Data Science Certificate jobs
What cities are hiring for Data Science Certificate jobs? Cities with the most Data Science Certificate job openings:
What are the most commonly searched types of Data Science Certificate jobs? The most popular types of Data Science Certificate jobs are:
What states have the most Data Science Certificate jobs? States with the most job openings for Data Science Certificate jobs include:
Infographic showing various Data Science Certificate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Experienced to Expert Level (Maryland)

Data Scientist - Experienced to Expert Level (Maryland)

U.S. Department of Defense (DOD)

Fort George G Meade, MD • On-site

$132K/yr

Other

This job post has expired today. Applications are no longer accepted.


U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 536 frontline employees who took The Breakroom Quiz

29th of 50 rated military and defense


Job description

Newly hired experienced Data Scientists will be assigned to a mission office by aligning their data science skills with mission needs. Due to the challenging and evolving nature of NSA data science problems, Data Scientists are expected to continue broadening and deepening their expertise throughout their career. For more information, please visit: https://apply.intelligencecareers.gov/job-description/1259937

Qualifications:The qualifications listed are the minimum acceptable to be considered for the position.
Applicants will be asked to complete the Data Science Examination (DSE) which evaluates their knowledge of statistics, mathematics, and computer science topics that pertain to data science work. Passing this examination at a local testing site is a requirement in order to be considered for selection into a data scientist position. Upon passing the examination, applicants will be evaluated for the minimum qualifications outlined in this ad. Transcripts for each academic institution are required prior to being invited to interview with Agency data science professionals and should be submitted as part of the online application. Unofficial transcripts are fine at this stage.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Experience must include both programming and one or more of the following: designing/implementing machine learning, data mining, statistical analysis, statistical consulting, artificial intelligence development, computational science, software engineering, technical writing, data visualization, or data engineering. Experience must also include formal or informal leadership.
SENIOR
Entry is with an Associate's degree plus 8 years of relevant experience, or a Bachelor's degree plus 6 years of relevant experience, or a Master's degree plus 4 years of relevant experience, or a Doctoral degree plus 2 years of relevant experience.
EXPERT
Entry is with an Associate's degree plus 11 years of relevant experience, or a Bachelor's degree plus 9 years of relevant experience, or a Master's degree plus 7 years of relevant experience, or a Doctoral degree plus 5 years of relevant experience.Education:The qualifications listed are the minimum acceptable to be considered for the position.
Note that different degree fields have different requirements as described below.
Degrees in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Data Science, Operations Research, Quantitative/Computational Finance, Econometrics/Quantitative Economics, Computer Science, or Computer Engineering qualify without additional coursework or a Data Science certificate.
Degrees in Engineering, Physical Sciences, Mathematical Biology/Bioinformatics, Life Sciences, Environmental Science, Data Analytics, or Information Science/Systems/Technology, must include either a Data Science certificate from an accredited college/university OR 5 or more courses in advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics) and/or advanced computer science (for example, algorithms, programming, data structures, data mining, artificial intelligence).
Other degrees must be accompanied by a Data Science certificate from an accredited college/university, and must include a total of 5 or more courses in advanced mathematics AND advanced computer science. At least one course must be from advanced mathematics (for example, calculus, differential equations, discrete mathematics, linear algebra, and calculus-based statistics). At least one course must be from advanced computer science (for example, algorithms, programming, data structures, computer architecture, data mining, artificial intelligence).
Employment Type: OTHER

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