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Full Time Remote Data Scientist Jobs in Springfield, MO

GRVTY

Technical Scientist - SME

Springfield, MO · On-site +1

$150K - $235K/yr

... remote sensing analytics across varied sensors, collection geometries, and data streams. * Support ... Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied ...

Brightli

Vice President Finance - Remote

Springfield, MO · On-site +1

Finance Employment Type: Full-time Shift: Monday - Friday, 8:00 A.M. - 5:00 P.M. Job Summary The ... Lead initiatives to streamline financial processes, enhance use of technology, and strengthen data ...

FedEx Logistics

Customs Trade Coordinator

Springfield, MO · Remote

$18 - $23.50/hr

Data entry and processing of various import related documentation for submission to US Customs and ... Process agency brokerage shipments. May handle remote filings Ensure all government and ...

All JobsData Scientist JobsFull Time Remote Data Scientist JobsFull Time Remote Data Scientist Jobs in Springfield, MO

Full Time Remote Data Scientist information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do full time remote data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time remote data scientist in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a full time remote data scientist?

A Full Time Remote Data Scientist is a professional who analyzes large and complex datasets to extract insights and build predictive models, while working remotely from a location outside of the traditional office. They use statistical techniques, machine learning, and programming skills to solve business problems and support decision-making. Working full time means they typically adhere to a standard workweek, collaborating virtually with team members and stakeholders. Remote data scientists often use online tools for communication, data access, and code sharing, allowing them to contribute effectively from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a full time remote data scientist?

To thrive as a Full Time Remote Data Scientist, you need expertise in statistics, machine learning, and data analysis, usually supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL, TensorFlow, or cloud services is typically required. Strong problem-solving, communication skills, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for extracting actionable insights from data and effectively contributing to distributed teams.

How do remote data scientists typically collaborate with team members and stakeholders across different locations?

Remote data scientists often work closely with cross-functional teams, including engineers, product managers, and business analysts, using digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular virtual meetings, code reviews, and shared documentation help ensure alignment and transparency, even across time zones. Clear communication, proactive status updates, and well-documented code are essential for successful teamwork in a remote setting. Additionally, many organizations foster connection through virtual stand-ups and team-building activities to maintain a strong, cooperative work culture.

What is the difference between Full Time Remote Data Scientist vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScientistFull Time Remote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, scientists, and product teams; focuses on modeling and predictive analyticsWorks with business teams; focuses on data reporting, visualization, and descriptive analytics
Industry UsageUsed across tech, finance, healthcare, and e-commerce industriesCommon in retail, marketing, finance, and healthcare sectors

Full Time Remote Data Scientists typically handle complex modeling and predictive tasks, requiring advanced skills and certifications, while Data Analysts focus on interpreting data and creating reports. Both roles are remote-friendly and essential across various industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Data Scientist jobs in Springfield, MO?

The most popular types of Remote Data Scientist jobs in Springfield, MO are:

What are popular job titles related to Full Time Remote Data Scientist jobs in Springfield, MO?

For Full Time Remote Data Scientist jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Scientist jobs in Springfield, MO look for?

The top searched job categories for Full Time Remote Data Scientist jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Full Time Remote Data Scientist jobs?

Cities near Springfield, MO with the most Full Time Remote Data Scientist job openings:

Full Time Remote Data Scientist jobs near you

Technical Scientist - SME

GRVTY

Springfield, MO • On-site, Remote

$150K - $235K/yr

Full-time

Posted 8 days ago

Job description

What Impact You'll Have

GRVTY is looking for a Senior Scientist to support research, algorithm development, and advanced analytics for overhead persistent infrared and electro-optical/infrared sensing systems. This is a technically demanding role centered on OPIR phenomenology, optical signature characterization, and sensor performance analysis in direct support of national security missions at a Customer site in Herndon, Virginia.

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics. The work is fast-paced and mission-driven — requirements shift, collection windows are finite, and the analysis you produce informs real decisions. We are looking for someone who has done this work before, can operate with autonomy, and brings enough depth in OPIR to hit the ground running.

What You'll be Owning

  • Lead research and development of advanced algorithms for OPIR and EO/IR remote sensing systems, with emphasis on target detection, tracking, location, and characterization.
  • Design, implement, and evaluate algorithms for EO/IR sensor and camera system performance — including noise modeling, radiometric calibration, and sensitivity analysis.
  • Analyze optical signature data to extract target phenomenology, characterize signatures, and generate technically rigorous intelligence insights.
  • Conduct multi-platform remote sensing analytics across varied sensors, collection geometries, and data streams.
  • Support the full TCPED process for OPIR — from tasking and collection planning through exploitation and dissemination.
  • Review and validate analytic products for technical accuracy and mission relevance; identify gaps and recommend improvements.
  • Maintain detailed, reproducible analysis logs documenting workflows, assumptions, methodologies, and results.
  • Respond to real-time EO/IR analysis requests and adapt quickly to evolving mission priorities.
  • Test and evaluate emerging algorithms, exploitation tools, and analytic platforms; contribute to trade studies and capability assessments.
  • Prepare and deliver technical briefings, findings, and written reports to customer and program stakeholders.
  • Mentor junior analysts; contribute to analytic standards and methodology development across the team.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Image Science, Engineering, Applied Physics, Atmospheric Science, Applied Mathematics, or a closely related field.
  • 5+ years of hands-on OPIR experience, with demonstrated work in EO/IR phenomenology, optical signature analysis, or sensor performance assessment.
  • Experience with image processing and digital signal processing tools for short-wave and mid-wave infrared data.
  • Experience applying algorithms for target detection and background suppression in OPIR or EO/IR contexts.
  • Familiarity with multi-data stream ingest and analysis techniques.
  • Working knowledge of the TCPED process as applied to OPIR collection and exploitation.
  • Strong documentation and communication skills — you will be writing technical reports and briefing customers, not just doing the analysis.
  • Able to work independently and manage priorities without significant hand-holding.

What Would be Nice to Have

  • Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or a related field.
  • Direct experience with optical signature modeling and EO/IR phenomenology characterization.
  • Proficiency in Python, MATLAB, IDL, or C/C++ for algorithm development or data analysis.
  • Experience with geospatial and exploitation tools such as ArcGIS, Google Earth, Opticks, or Palette.
  • Background in radiometric calibration, sensor noise modeling, or end-to-end sensor performance modeling.
  • Experience supporting collection planning and requirements definition for remote sensing systems.
  • Familiarity with AI/ML-enhanced analytics as applied to remote sensing or signature exploitation.
  • Prior experience in a defense or intelligence community environment supporting classified programs.

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.
Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

Virginia Pay Range
$150,000—$235,000 USD

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, 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, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.