1

Data Scientist Sme Jobs (NOW HIRING)

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR ...

The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support Intelligence, Surveillance, and Reconnaissance (ISR ...

Everforth ECS is seeking a Data/ML Scientist SME to work in the National Capital Region covering the Pentagon, Falls Church, and Fairfax . Please Note: This position is contingent upon contract award.

... Systems SME to serve as a Technical Closer for our COSS 3.0 program. You will architect the ... Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.

... Systems SME to serve as a Technical Closer for our COSS 3.0 program. You will architect the ... Master's Degree or PhD in Data Science, Artificial Intelligence, Computer Science, or Mathematics.

Job Title SME- Data Scientist Location Augusta, GA 30905 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required TS/SCI ...

next page

Showing results 1-20

Data Scientist Sme information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist sme jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data scientist sme 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.

What are Data Scientist SMEs?

Data Scientist SMEs (Subject Matter Experts) are professionals who combine advanced data science skills with deep knowledge in a specific domain or industry. They use their expertise to analyze complex data, develop models, and provide insights that drive decision-making within their area of specialization. SMEs bridge the gap between technical teams and business stakeholders, ensuring that data-driven solutions are both technically sound and contextually relevant. Their role often involves mentoring, consulting, and guiding projects to align with best practices and industry standards.

What is the difference between Data Scientist Sme vs Data Analyst?

AspectData Scientist SmeData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Data Analysis, Statistics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates with data science teams, develops models, interprets complex dataPrepares reports, visualizes data, supports decision-making
Employer & Industry UsageTech, finance, healthcare, and consulting firmsRetail, marketing, finance, and healthcare sectors

The Data Scientist Sme focuses on developing advanced models and interpreting complex data, often requiring specialized skills and certifications. In contrast, Data Analysts primarily prepare reports and visualize data to support business decisions. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What are the key skills and qualifications needed to thrive as a Data Scientist SME, and why are they important?

To thrive as a Data Scientist SME, you need advanced knowledge of statistical analysis, machine learning, and data modeling, typically supported by a degree in computer science, statistics, or a related field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL and cloud services is essential, along with relevant certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Scientist Associate. Strong problem-solving skills, effective communication, and the ability to translate complex data insights into actionable strategies make someone stand out in this role. These skills are crucial for delivering valuable business insights, driving data-driven decision-making, and effectively leading technical teams or projects.

What are some common challenges Data Scientist SMEs face when transitioning from individual contributor to subject matter expert roles?

Data Scientist SMEs often encounter challenges such as balancing hands-on data analysis with advisory or mentoring responsibilities, staying updated with rapidly evolving technologies, and effectively communicating complex technical insights to non-technical stakeholders. Additionally, SMEs may need to develop leadership and project management skills to guide teams and influence organizational decisions. Successfully navigating these challenges can lead to greater impact and open up opportunities for career advancement into leadership or specialized consulting roles.
More about Data Scientist Sme jobs
What cities are hiring for Data Scientist Sme jobs? Cities with the most Data Scientist Sme job openings:
What states have the most Data Scientist Sme jobs? States with the most job openings for Data Scientist Sme jobs include:

Data Scientist SME - TS/SCI FSP

Tenica Global Solutions

Chantilly, VA โ€ข On-site

Full-time

Posted yesterday


Job description

Data Scientist SME
Department: Govt Customer-Chantilly
Location: Chantilly, VA
TENICA is looking to hire a Data Scientist SME. Must have active TS/SCI with FS poly.
Required Skills:
  • Demonstrated experience working with Splunk and Linux.
  • Demonstrated experience understanding Splunk distributed architecture and data pipelines, with hands-on implementation.
  • Demonstrated experience with Splunk client management and apps management.
  • Demonstrated experience with integrating Splunk with various data sources such as syslog, flat files, databases, APIs, cloud platform logs, HEC endpoints.
  • Demonstrated experience with Splunk SPL to create searches, reports, alerts, and dashboards.
  • Demonstrated experience with Splunk conf files to manage inputs, props, transforms, and similar.
  • Demonstrated experience with fluency with Linux OS (RHEL or Rocky 8) and Command Line Interface (CLI).
  • Demonstrated experience with scripting languages such as Bash, Python.
  • Demonstrated experience with PowerShell for task automation.
  • Demonstrated experience with custom apps development.
  • Demonstrated experience with Regular Expression.
  • Demonstrated experience with AWS SDK and CLI to programmatically interface with AWS.

TENICA is 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, or protected veteran status and will not be discriminated against on the basis of disability.