Back to jobs

Data Scientist

Stennis Space Center, MS, USA

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed

What you’ll bring

All qualifications

Core experience

  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field 5+ years of experience in data science or related field Proven experience with machine learning and statistical modeling Strong background in geospatial analysis Demonstrated track record of successful analytical projects
Qualification wording
Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field 5+ years of experience in data science or related field Proven experience with machine learning and statistical modeling Strong background in geospatial analysis Demonstrated track record of successful analytical projects

Tools in this posting

  • R
  • AWS
  • Azure
  • Hadoop
  • Matplotlib
  • TensorFlow
  • SQL
  • Python
  • Spark
  • Google Cloud (GCP)
  • scikit-learn
  • PyTorch
  • Plotly
Source — Tool mentions in context
Required Skills and Competencies: Python, R, or similar programming languages Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Statistical analysis and modeling Data visualization tools (Matplotlib, Seaborn, Plotly) SQL and database querying Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK) ESRI ArcGIS suite of commercial software components ArcGIS Runtime ArcGIS Engine ArcGIS extensions including: 3-D Analyst Geostatistical Analyst Network Analyst Spatial Analyst Tracking Analyst ArcGIS Server Experience with: Spatial statistics and analysis Big data processing tools Version control systems (Git) Jupyter notebooks Data preprocessing and feature engineering Model evaluation and validation techniques Strong analytical and problem-solving skills Excellent communication abilities Must be able to work on-site at Stennis Space Center, MS Clearance Requirement:
Desired Skills and Competencies: Deep learning techniques Computer vision Natural language processing Cloud computing platforms (AWS, Azure, GCP) Big data technologies (Hadoop, Spark) Remote sensing data analysis Time series analysis Spatial modeling Bayesian statistics Knowledge of: Data engineering principles MLOps practices Distributed computing High-performance computing Image processing Familiarity with: Federal data standards Research methodology Scientific computing Geospatial data formats and standards Publications in peer-reviewed journals Federal government contract experience Security clearance or ability to obtain one Relevant certifications in data science or machine learning Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com. Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

Job description

View original posting ↗

This position may be filled prior to the posted deadline.  Interested candidates are encouraged to apply as soon as possible.   Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Data Scientist with a Secret security clearance to support KITS and our government customer at Stennis Space Center, MS.   Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.   Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and geospatial analysis techniques to extract valuable insights from complex datasets. This position offers the opportunity to work with cutting-edge technologies and contribute to mission-critical projects while solving challenging analytical problems. The Data Scientist will be responsible for developing and implementing advanced analytical solutions, with a particular focus on geospatial data analysis and modeling. Key responsibilities include: Design and implement machine learning models and statistical analyses Develop predictive models and data-driven solutions Process and analyze large-scale geospatial datasets Create data visualization and reporting solutions Conduct exploratory data analysis Develop and maintain analytical pipelines Collaborate with cross-functional teams to understand requirements Transform complex data into actionable insights Optimize existing models and analytical processes Document methodologies and findings Present technical findings to stakeholders   Education and Experience: Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field 5+ years of experience in data science or related field Proven experience with machine learning and statistical modeling Strong background in geospatial analysis Demonstrated track record of successful analytical projects   Required Skills and Competencies: Python, R, or similar programming languages Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Statistical analysis and modeling Data visualization tools (Matplotlib, Seaborn, Plotly) SQL and database querying Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK) ESRI ArcGIS suite of commercial software components ArcGIS Runtime ArcGIS Engine ArcGIS extensions including: 3-D Analyst Geostatistical Analyst Network Analyst Spatial Analyst Tracking Analyst ArcGIS Server Experience with: Spatial statistics and analysis Big data processing tools Version control systems (Git) Jupyter notebooks Data preprocessing and feature engineering Model evaluation and validation techniques Strong analytical and problem-solving skills Excellent communication abilities Must be able to work on-site at Stennis Space Center, MS   Clearance Requirement: Secret security clearance  Desired Skills and Competencies: Deep learning techniques Computer vision Natural language processing Cloud computing platforms (AWS, Azure, GCP) Big data technologies (Hadoop, Spark) Remote sensing data analysis Time series analysis Spatial modeling Bayesian statistics Knowledge of: Data engineering principles MLOps practices Distributed computing High-performance computing Image processing Familiarity with: Federal data standards Research methodology Scientific computing Geospatial data formats and standards Publications in peer-reviewed journals Federal government contract experience Security clearance or ability to obtain one Relevant certifications in data science or machine learning   Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.   Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.   Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352  

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.dayforcehcm.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Stennis Space Center, MS, USA

Required Skills and Competencies: Python, R, or similar programming languages Machine learning frameworks (scikit-learn, TensorFlow, PyTorch) Statistical analysis and modeling Data visualization tools (Matplotlib, Seaborn, Plotly) SQL and database querying Geographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK) ESRI ArcGIS suite of commercial software components ArcGIS Runtime ArcGIS Engine ArcGIS extensions including: 3-D Analyst Geostatistical Analyst Network Analyst Spatial Analyst Tracking Analyst ArcGIS Server Experience with: Spatial statistics and analysis Big data processing tools Version control systems (Git) Jupyter notebooks Data preprocessing and feature engineering Model evaluation and validation techniques Strong analytical and problem-solving skills Excellent communication abilities Must be able to work on-site at Stennis Space Center, MS Clearance Requirement:

More relevant text appears in the full description.

Work authorization

This passage needs a closer read in the full description.

Status in our records
Active
First seen by us
Jun 4, 2026
Recorded sightings
397
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.