1 to 25 of 326 Statistical Analysis Jobs

System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Senior Data Scientist (OBI Advanced Analytic Method Augmentation), Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. • Proactively … set, and builds AI tools that automate certain processes. • Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. • Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. • Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. • Should have prior experience with large data multi-INT analytics, ML, and automated predictive analytics. • Designs, develops, and evaluates leading-edge algorithmic intelligence concepts, practices, and technologies for implementation into More ❯

Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI). • The Senior Data Scientist (OBI Analytic Efficiency Enablement) Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. • Proactively … set, and builds AI tools that automate certain processes. • Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. • Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI-) and … Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. • Should have prior experience with large data multi INT analytics, ML, and automated predictive analytics. • Possesses a professional or graduate certificate in data science from a university, major online More ❯

Prescient Edge is seeking a Senior Data Scientist to support a Federal government client. As a Senior Data Scientist , you will: Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively … data set, and builds AI tools that automate certain processes. Typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems. Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau … major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Have had prior experience with large data MultiINT analytics, ML, and automated predictive analytics. Provide incremental enhancements to tools, capabilities, processes, and methods. Possess in-depth knowledge and experience in More ❯

a member for the Affordability team ensuring the programs is successful in achieving our manufacturing cost and schedule targets. It requires technical knowledge and economic acumen to formulate DTC analysis approaches and methods to provide senior leadership the ability to make actionable decisions in a very agile manner. This position is responsible for decomposing top-level program cost targets … CAIV, DTC, and/or CRI analyses Experience with modeling Life Cycle Cost for large/complex systems of systems Experience in developing cost research models and cost risks analysis for complex aerospace systems Experience in performing cost estimating activities such as cost analysis, statistical analysis, WBS development, and cost risk analysis Preferred Qualifications: Active … CAIV, DTC, and/or CRI analyses Experience with modeling Life Cycle Cost for large/complex systems of systems Experience in developing cost research models and cost risks analysis for complex aerospace systems Experience in performing cost estimating activities such as cost analysis, statistical analysis, WBS development, and cost risk analysis Experience with DoD More ❯

coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: • The Data ScientistConducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively … set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Required qualifications/skills: Education/Experience: • MA or MS from an accredited institution More ❯

coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: • The Data ScientistConducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively … set, and builds AI tools that automate certain processes. Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Required qualifications/skills: Education/Experience: • MA or MS from an accredited institution More ❯

Jr. Data Scientist (Supply Chain & Weapons Production Networks) Please note that the availability of this position is contingent upon award. Description: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively … set, and builds AI tools that automate certain processes. Duties typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data all source analytics, ML, and automated predictive analytics. Designs, develops, and evaluates leading-edge artificial intelligence concepts, practices, and technologies for implementation into More ❯

determined by the education, experience, knowledge, skills and the abilities of the applicant internal equity, and alignment with market data. Description: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more infom1ed analytic decisions. Proactively … set, and builds Al tools that automate certain processes. Duties typically include creating various ML based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics. Shall work with and design, prototype, and deployment of complex asynchronous frameworks. Shall work with More ❯

Please note that the availability of this position is contingent upon award Mid. Data Scientist Description: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions. Proactively retrieves information from various sources … set, and builds AI tools that automate certain processes. Duties typically include creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and … Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python; or SQL; statistical analysis; and data mining algorithms. Should have prior experience with large data all source analytics, ML, and automated predictive analytics. Maintain the JWICS and NJPR cloud account licenses in good standing with the Cloud More ❯

important mission within the Federal Government. Data Scientists shall possess the following capabilities: Candidates should be proficient in 2 or more of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure … inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing More ❯

responsible for designing and developing comprehensive methods and processes to consolidate and analyze structured and unstructured data from diverse sources, including big data environments. This role combines traditional data analysis with advanced analytics capabilities to drive organizational decision-making and business performance. Job Responsibilities: Data Architecture & Processing: Design and develop methods, processes, and systems to consolidate and analyze structured … customized report building functions. Design, develop, and modify data infrastructure to support analytical requirements. Advanced Analytics & Machine Learning: Apply disciplines such as Natural Language Processing, Machine Learning, Predictive modeling, Statistical Analysis and Hypothesis testing. Develop and implement statistical models and algorithms for predictive analytics. Conduct both quantitative and qualitative analysis to ensure accurate forecasting and classification. … Create and optimize automated processes for data analysis and model deployment. Cross-Functional Collaboration: Work with cross-discipline teams to ensure connectivity between various databases and systems. Collaborate with stakeholders to identify data visualization requirements and business needs. Act as a liaison between technical teams and business stakeholders. Support strategic decision-making through detailed analysis and recommendations. Insights More ❯

in support of our government Sponsor. This position requires all duties to be performed full-time/onsite in the Bethesda, MD area. Job Duties: Apply systems engineering, technical analysis, along with operations and research principles, theories, and methods in the development of major issues studies and strategic evaluation reports of issues of National Intelligence Importance. Perform conduction planning … collection, and analysis of data, as well as with reviewing sizable amounts of data to develop methodologies and provide final results and recommendations on issues of National Intelligence importance. Gather study proposals from Intelligence Community (IC) stakeholders, evaluate for suitability, frame and revise for clarity, estimate study staffing and timeline requirements. Develop study design plan that includes objectives, key … questions, stakeholder list, data gathering and analysis plan, and extensive issue framing. Collect study-relevant data and information using mixed methods of qualitative and quantitative sources which include literature reviews, survey design and administration, database queries and custom data calls of enterprise mission and budget data. Clean/normalize quantitative and qualitative data for later analysis as necessary. More ❯

with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment. In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued. In this role, you will: Apply shipboard … waterfront project managers and specialists in making informed ships maintenance and logistics decisions. Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources. Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings. Develop data-driven reports, briefings, and presentations for senior Navy leadership. Translate complex technical data into More ❯

Evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and enhance the accuracy of our AI software's predictive automation capabilities. Consult with managers to determine and refine machine learning objectives. Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Responsibilities Transform data science prototypes and applying … layered data sets, as well as optimizing existing machine learning libraries and frameworks Develop ML algorithms to analyze huge volumes of historical data to make predictions Run tests, performing statistical analysis, and interpreting test results Document machine learning processes Keep abreast of developments in machine learning Study and transform data science prototypes Design machine learning systems Research and … implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and framework Requirements FAA Clearance Education: BS, Experience: 16+ Years, PhD 11+, MS More ❯

solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities • Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets • Identify and document areas for improvement in workflows or systems • Research and document options for collecting or aggregating data … Use languages, such as Python, to collect and process data from a variety of sources • Leverage the use of APIs and computing platforms to support data collection, management, and analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms … Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering More ❯

science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and … reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure More ❯

feature delivery and tradeoffs of a product Preferred Qualifications - Experience in building and driving adoption of new tools - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning More ❯

Services company, is seeking a Data Analyst II with a Top Secret clearance to support our Army customer in Huntsville, Alabama. This on-site role will provide comprehensive data analysis support to the Army Materiel Command (AMC), enabling data-driven decision-making and enhancing operational effectiveness. The ideal candidate will possess strong analytical skills, experience with data visualization tools … company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more. Position Description: The Data Analyst II will be responsible for delivering end-to-end data analysis services to support AMC operations and strategic initiatives. Principal responsibilities will include but are not limited to: Gather, clean, and prepare data from diverse sources, ensuring quality and usability … for analysis Conduct exploratory data analysis to identify trends, patterns, correlations, and insights Develop and apply appropriate statistical methods and data analysis techniques Create predictive models to support forecasting and strategic planning activities Design and implement compelling data visualizations that clearly communicate analytical findings Produce concise, informative reports with actionable recommendations based on data analysis More ❯

scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC's success. Job Overview Perform business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining to create high quality reports to be used for operational and executive level decision making … with data architect or application specialists to identify the data sources required to support an analytical project or development of a complex report. Research, collect, develop, and implement data analysis for gap, competition landscape, and infrastructure alignment.Utilize ETL tools to automate standard reporting.Evaluate various data sets, identify new types of data and data sources to determine patterns; synthesize data … Academic Unit Reviews, and other ad-hoc projectsPerform related duties based on departmental need. This job description can be changed at any time. Required Education Bachelor's degree involving statistical analysis, scientific method, and survey research, such as Mathematics, Business Analytics, Computer Science, Social Sciences or other similar disciplines. Required Experience At least three (3) years of experience More ❯

modernization of existing algorithms for cloud-native computing architectures Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformations Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics Create automated ETL processes to extract, cleanse, and transform large datasets from diverse sources Implement data … Extensive, proven experience with SAS Viya platform including SAS Enterprise Guide and SAS Data Integration Studio Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL) Experience with data warehousing concepts, dimensional modeling, and database optimization Strong scripting skills … Python, R, or advanced SAS macro programming) Understanding of statistical analysis, data mining, and machine learning techniques Experience with cloud platforms (Azure required, AWS/GCP beneficial) Knowledge of data visualization tools (SAS Visual Analytics, Tableau, Power BI) Preferred Qualifications SAS Global Certifications (Base Programming, Advanced Programming, Data Integration) Experience with SAS Visual Analytics and SAS Enterprise Miner More ❯

fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in … the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure More ❯

Job Number: R Data Scientist Key Role: Provide statistical and mathematical support to analyze and interpret a wide range of data to help leadership understand the value of anomalies and support strategic decisions. Interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven … techniques from experience or research methods. Leverage wide-ranging data sources to develop and communicate an understanding of phenomena and trends. Provide insights through repeatable, transparent analysis that will be used to inform division strategy and decisions. Assist in the construction of data sets and data views to utilize and communicate complex data sets meaningfully and appropriately. Assist with … the implementation of statistical analysis process improvements and the incorporation of statistical research into new analytical products and methods. Generate and maintain reports, schematics, and other documentation sufficient to maintain awareness of data ingestion, conditioning, and visualization processes on a regular basis and modify them as required. Provide continuous feedback and recommendations to leadership. Develop performance metrics More ❯

Positioning, Navigation, and Timing (PNT) Division contract. This position is to serve as a Subject Matter Expert (SME) supporting next generation PNT system evaluation, testing and characterization. Duties: Apply statistical analysis to time-series data and generate relevant summary statistics to characterize system performance across test conditions. Supplement quantitative test results with visual analytics to support data-driven … non-technical audiences. Collaborate with team members to design data dashboards or reporting tools that enhance visibility into test outcomes and system behavior trends. Debug, improve, and extend data analysis tools to support automated processing, statistical analysis, and visual reporting. Develop and operate QuickLook tools to generate immediate, high-level views of collected data during testing, enabling … ensuring proper equipment configuration for data collection, and data analysis. Write technical reports on findings. Brief results to external stakeholders and answer questions. Ability to defend results with technical analysis of test data. Assist in defining and documenting system requirements for current and future systems. Required Skills & Experience: Proficiency in SQL, Excel, and potentially statistical programming languages, preferred. More ❯

government customer at Reston, VA and Patrick Space Force Base, FL. This statistician will be working in a classified environment and will develop and apply fundamental mathematics, mathematical or statistical theory to solve a wide range of intelligence problem and apply mathematical theories and statistical methods to solve practical problems. Other responsibilities will include: Summarize numerical data to … generate info to solve a wide range of intel problems. Develop mathematical or statistical models of phenomena for analysis or computational simulation. Design complex metrics-projects that apply valid scientific techniques and utilize information obtained from baselines or historical data to structure analyses. Plan and perform data collection for projects, determining types and sizes of sample groups and … analysis. Produce graphs, charts, tables, and metrics showing results of analyses. Required Education, Experience, & Skills Mid-level: Bachelor's degree in a related mathematics area with 8+ years of statistical analysis experience with related experience within the last 2 years, or 10+ years of experience Senior: Master's degree in a related mathematics area with 12+ years of More ❯

May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages., REPORTS TO: Director, Information Systems WORK SCHEDULE: Primarily Monday-Friday days, 40 - 50 hours per week QUALIFICATIONS: Education/Training/Experience, 8+ years of total experience, 3+ years of work experience in AI projects with deployment of AI based projects in production., Good Understanding of Agentic AI, and Agentic … AI Frameworks & Tools, o Work with agentic AI frameworks like LangChain and LangGraph., o Optimize and quantize GenAI models, including those using RAG, Transformers, and VectorDBs, 3. Data Engineering & Analysis, o Handle large-scale training and inference using platforms like Databricks and PySpark., o Perform statistical analysis, feature engineering, and dimensionality reduction (e.g., PCA, SVD, UMAP, t More ❯