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Postdoctoral In Bayesian Statistics Jobs in Mississippi

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ ... Bayesian statistics * Knowledge of: * Data engineering principles * MLOps practices * Distributed ...

Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
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Data Scientist with Security Clearance

Data Scientist with Security Clearance

Koniag Government Services

Gulfport, MS • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

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. We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more. 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 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