SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate ...
SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Quick apply
Data Scientist
Mclean, VA · Remote
Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. * Design and develop machine learning models and analytical ...
Director, Data Sciences
Washington, DC · On-site +1
Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches. * Machine Learning and AI Solutions : Lead the ...
Director, Data Sciences
Washington, DC · On-site +1
Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches. * Machine Learning and AI Solutions : Lead the ...
Required : • Strong experience in data science, machine learning, and statistical analysis • Proficiency in Python and experience working in data analysis environments (e.g., Jupyter Notebooks ...
Required : • Strong experience in data science, machine learning, and statistical analysis • Proficiency in Python and experience working in data analysis environments (e.g., Jupyter Notebooks ...
Data Scientist
Herndon, VA · On-site +1
Contribute to solutioning sessions and technical sections of project proposals Required Qualifications * 5+ years of experience in data science, machine learning, or a related field * Hands-on ...
Data Scientist
Herndon, VA · On-site +1
Contribute to solutioning sessions and technical sections of project proposals Required Qualifications * 5+ years of experience in data science, machine learning, or a related field * Hands-on ...
Minimum 5 years experience in applied data science, machine learning, or analytics * Expert-level proficiency in SQL for complex querying, performance optimization, and data modeling. * Practical ...
Minimum 5 years experience in applied data science, machine learning, or analytics * Expert-level proficiency in SQL for complex querying, performance optimization, and data modeling. * Practical ...
A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting. Strong mathematics background in Statistics, Graph Theory, Probability ...
A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting. Strong mathematics background in Statistics, Graph Theory, Probability ...
AI/ML Data Scientist
Arlington, VA · On-site
A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
AI/ML Data Scientist
Arlington, VA · On-site
A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
... science, machine learning, or analytics related to intelligence or geospatial data. • Proficiency in Python programming; knowledge of additional languages such as JavaScript, HTML, and CSS is a ...
... science, machine learning, or analytics related to intelligence or geospatial data. • Proficiency in Python programming; knowledge of additional languages such as JavaScript, HTML, and CSS is a ...
Data Science Machine Learning information
See Silver Spring, MD salary details
$38.6K - $53.5K
2% of jobs
$53.5K - $68.4K
3% of jobs
$68.4K - $83.3K
6% of jobs
$83.3K - $98.2K
9% of jobs
$103K is the 25th percentile. Wages below this are outliers.
$98.2K - $113.1K
15% of jobs
The median wage is $123.1K / yr.
$113.1K - $128K
22% of jobs
$136.2K is the 75th percentile. Wages above this are outliers.
$128K - $142.9K
32% of jobs
$142.9K - $157.8K
3% of jobs
$157.8K - $172.7K
4% of jobs
$172.7K - $187.6K
1% of jobs
$187.6K - $202.5K
2% of jobs
$38.6K
$126.5K
$202.5K
How much do data science machine learning jobs pay per year?
As of Jul 23, 2026, the average yearly pay for data science machine learning in Silver Spring, MD is $126,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?
To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.
What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?
A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.
What is the difference between Data Science Machine Learning vs Data Analyst?
| Aspect | Data Science Machine Learning | Data Analyst |
|---|---|---|
| Required Skills | Programming (Python, R), statistics, machine learning algorithms | Data visualization, SQL, basic statistics |
| Work Environment | Developing models, coding, experimenting with algorithms | Data reporting, dashboard creation, data cleaning |
| Industry Usage | Tech, finance, healthcare, where predictive models are needed | Business intelligence, marketing, operations |
Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.
What is data science machine learning?
Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities near Silver Spring, MD are hiring for Data Science Machine Learning jobs? Cities near Silver Spring, MD with the most Data Science Machine Learning job openings:
Full-time
Medical, Life, Retirement, PTO
Posted 7 hours ago
Job description
Responsibilities
We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I-V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.
SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.
Key Responsibilities (All Levels)
Required Qualifications
Qualifications for all Levels:
Level I
Required Qualifications
D.C. Salary Range: $71,800.00 - $112,150
Level II
Required Qualifications:
D.C. Salary Range: $78,900 - $123,300
Level III
Required Qualifications:
D.C. Salary Range: $105,100 - $164,125
Level IV
Required Qualifications:
D.C. Salary Range: $127,100 - $198,575
Level V
Required Qualifications:
D.C. Salary Range: $153,800 - $240,350
Desired Qualifications
Desired Expertise
Level I
Level II
Level III
Level IV
Level V
**THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**
Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful work. We also maintain a drug-free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $71,800.00 - USD $240,350.00 /Yr.
We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I-V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.
SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.
Key Responsibilities (All Levels)
- Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines to solve complex technical or organizational problems within the FAA or similar environments.
- Extract insights and value from large and complex datasets to inform decision-making, enhance system performance, and drive innovation across programs.
- Develop and implement data-driven solutions and predictive models using advanced statistical, machine learning, and data analysis techniques.
- Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.
- Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.
- Collaborate with cross-functional teams-including software engineers, data analysts, behavioral scientists, and domain experts-to integrate data science solutions into operational systems and decision-support workflows.
- Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.
- Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.
- Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.
- Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.
Required Qualifications
Qualifications for all Levels:
- U.S. citizen or green card permanent resident (3+ years U.S. residency)
- Ability to obtain and maintain FAA Sutiability/Public Trust.
- Experience with FAA and the environment.
Level I
Required Qualifications
- Bachelor's degree in engineering, science, or related field and 4+ years of relevant experience; or equivalent aviation-related experience with 6+ years.
D.C. Salary Range: $71,800.00 - $112,150
Level II
Required Qualifications:
- Bachelor's degree in engineering, science, or related field and 8+ years of relevant experience; or equivalent aviation-related experience with 12+ years.
D.C. Salary Range: $78,900 - $123,300
Level III
Required Qualifications:
- Master's degree in engineering, science, or related field and 10+ years of experience; or Bachelor's degree with 12+ years of experience.
D.C. Salary Range: $105,100 - $164,125
Level IV
Required Qualifications:
- Master's degree in engineering, science, or related field and 13+ years of experience; or Bachelor's degree with 17+ years of experience.
D.C. Salary Range: $127,100 - $198,575
Level V
Required Qualifications:
- Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; or Master's degree with 12+ years, or Bachelor's degree with 17+ years of experience.
D.C. Salary Range: $153,800 - $240,350
Desired Qualifications
Desired Expertise
- Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains.
- Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI).
- Strong understanding of data pipelines, data governance, and analytical model deployment in operational environments.
- Ability to translate complex technical and analytical concepts into actionable insights for diverse stakeholders.
Level I
- Experience with technical problem-solving, system integration, or engineering team support in aviation-related programs.
Level II
- Demonstrated experience leading small technical teams, performing process improvement, and applying engineering/scientific tools to complex problems.
Level III
- Experience in advanced technical planning, integration of complex systems, and use of data analysis and test facilities for problem resolution.
Level IV
- Proven record of technical leadership, mentorship of junior SMEs, and contributions to program or organizational strategy.
- Experience with large-scale program integration, advanced modeling, simulation, or laboratory testing.
Level V
- Expertise in psychological, organizational, technical, or analytical domains applied to aviation, engineering, or large-scale program environments.
- Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.
- Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.
**THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**
Overview
Overview
Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation's toughest challenges, delivering advanced solutions to our customers' most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.
We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org
Why Work at Noblis
At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission-driven professionals who care deeply about doing work that enriches lives and makes our nation safer.
Noblis has earned numerous workplace awards for our culture, our commitment to employee well-being, and our dedication to meaningful, impactful work. We also maintain a drug-free workplace.
Remote/hybrid status is subject to change based on Noblis and/or government requirements.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
EEO is the Law | E-Verify | Right to Work
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $71,800.00 - USD $240,350.00 /Yr.