Data Scientist OpportunityKoniag 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 analysesDevelop predictive models and data-driven solutionsProcess and analyze large-scale geospatial datasetsCreate data visualization and reporting solutionsConduct exploratory data analysisDevelop and maintain analytical pipelinesCollaborate with cross-functional teams to understand requirementsTransform complex data into actionable insightsOptimize existing models and analytical processesDocument methodologies and findingsPresent technical findings to stakeholdersEducation and Experience:Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field5+ years of experience in data science or related fieldProven experience with machine learning and statistical modelingStrong background in geospatial analysisDemonstrated track record of successful analytical projectsRequired Skills and Competencies:Python, R, or similar programming languagesMachine learning frameworks (scikit-learn, TensorFlow, PyTorch)Statistical analysis and modelingData visualization tools (Matplotlib, Seaborn, Plotly)SQL and database queryingGeographic Information Systems (GIS), specifically: Commercial Joint Mapping Toolkit (CJMTK)ESRI ArcGIS suite of commercial software componentsArcGIS RuntimeArcGIS EngineArcGIS extensions including: 3-D AnalystGeostatistical AnalystNetwork AnalystSpatial AnalystTracking AnalystArcGIS ServerExperience with:Spatial statistics and analysisBig data processing toolsVersion control systems (Git)Jupyter notebooksData preprocessing and feature engineeringModel evaluation and validation techniquesStrong analytical and problem-solving skillsExcellent communication abilitiesMust be able to work on-site at Stennis Space Center, MSClearance Requirement:Secret security clearanceDesired Skills and Competencies:Deep learning techniquesComputer visionNatural language processingCloud computing platforms (AWS, Azure, GCP)Big data technologies (Hadoop, Spark)Remote sensing data analysisTime series analysisSpatial modelingBayesian statisticsKnowledge of:Data engineering principlesMLOps practicesDistributed computingHigh-performance computingImage processingFamiliarity with:Federal data standardsResearch methodologyScientific computingGeospatial data formats and standardsPublications in peer-reviewed journalsFederal government contract experienceSecurity clearance or ability to obtain oneRelevant certifications in data science or machine learningOur Equal Employment Opportunity PolicyThe 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 or by calling to request accommodations.