Data Scientist

Data Scientist Opportunity

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 View email address on click.appcast.io or by calling View phone number on click.appcast.io to request accommodations.