Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
MacDill AFB, FL
Live, first seen by us 44 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Citizens only
A Top Secret Clearance with SCI eligibility is required
What you’ll work on
Full postingDesign, implement and maintain data pipelines
Develop predictive models, NLP, clustering and forecasting methods
Clean and organize structured and unstructured data with programming
Create data visualizations in Tableau, Power BI and R Shiny
Communicate findings to non-technical audiences through digital storytelling
From the employer’s posting
Data scientists are responsible for designing, implementing, and maintaining a data pipeline.
Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
employ programming to clean, massage, and organize the data
create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
What you’ll bring
All qualificationsCore experience
- Bachelor's Degree in a STEM field is required.
- Demonstrated ability to work in a fast-paced environment with evolving requirements
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Proficient in Agile Development and Git operations
Preferred experience
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Experience with Maven Smart System or Palantir Foundry
Qualification wording
Bachelor's Degree in a STEM field is required.
Demonstrated ability to work in a fast-paced environment with evolving requirements
Proficient with one or more programming languages (Java, C++, Python, R, etc.)
Proficient in Agile Development and Git operations
Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Experience with Maven Smart System or Palantir Foundry
Education & alternatives
- A minimum of 1 year of hands-on Data Science experience is required. - Bachelor's Degree in a STEM field is required. - Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Familiarity with DoD - Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. - Experience with Maven Smart System or Palantir Foundry
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 202644 days ago
- Recorded sightings
- 43
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 44
Similar jobs usually come down between day 8 and day 60.
Well past Clarity Innovations’s usual: its jobs come down by about day 22.
From 11,783 similar postings that came down, and 25 of Clarity Innovations’s. Coming down is not always a hire.
Clarity Innovations is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring has slowed
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Python
- R
- SQL
- Databricks
- Hadoop
- Power BI
- Snowflake
- Spark
- Tableau
- NumPy
- pandas
- SciPy
Where the posting names them
- Bachelor's Degree in a STEM field is required. - Proficient with one or more programming languages (Java, C++, Python, R, etc.) - Proficient in Agile Development and Git operations
Responsibilities A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform the following tasks: • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. • Coordinate with Data Engineers to build Data environments providing data identified by other data professionals • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform the following tasks: • Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method. • Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data • Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. • Coordinate with Data Engineers to build Data environments providing data identified by other data professionals • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques. • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling. Requirements
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Has Clarity Innovations posted this job before?
Yes. We’ve followed 2 other Senior Data Scientist jobs there since August 2026. One came down after 6 days. One is still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Role
This role is for a Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
Responsibilities
A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.
The Data Scientist shall perform the following tasks:
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
Requirements
- A minimum of 1 year of hands-on Data Science experience is required.
- Bachelor's Degree in a STEM field is required.
- Proficient with one or more programming languages (Java, C++, Python, R, etc.)
- Proficient in Agile Development and Git operations
- A Top Secret Clearance with SCI eligibility is required
- Demonstrated ability to work in a fast-paced environment with evolving requirements
Preferred Qualifications
- Familiarity with DoD
- Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
- Experience with Maven Smart System or Palantir Foundry
Senior Data Scientist
$111,700—$189,900 USD
Pay Range
The posted pay range reflects the national salary range for this position and is provided to give candidates a general understanding of the compensation opportunity. The actual salary offered will be determined based on the requirements of the position and a variety of job-related factors, which may include geographic location, applicable Federal Government contract labor categories and wage rates, relevant experience, skills and competencies, education, certifications, and the scope and responsibilities of the role.
Because this position may be performed in multiple locations and may be subject to different contract requirements, the salary ultimately offered may vary based on the applicable location and contract. The posted range is not a guarantee of a specific starting salary or an indication that an offer will be made at any particular point within the range.
Total Rewards
In addition to competitive base pay, Clarity provides a Total Rewards package designed to attract and retain exceptional professionals committed to excellence. Our benefits reflect the value we place on skilled individuals who drive our impact in critical digital missions.
At Clarity, a career means joining a high-performing team advancing vital work in the digital landscape. We encourage you to consider the total value of joining us—competitive compensation, comprehensive benefits, and resources that support your growth and impact.
Our Total Rewards package includes performance-based bonuses, extensive medical, dental, and vision coverage, a 401(k) plan with company match, substantial paid time off and holidays, flexible work arrangements where possible, and a range of income protection benefits. We are committed to supporting your well-being, professional growth, and ability to contribute to essential digital missions.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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- Location & working pattern
MacDill AFB, FL
Working pattern and location restrictions need checking in the full posting.
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