176 to 200 of 307 Statistical Analysis Jobs

requirement, or upper-level math courses designated as elementary or basic do not count. Must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis More ❯

Travel: Continental US The Opportunity: CACI is seeking a cleared Operations Research Systems Analyst (ORSA) to support an Army Product Manager at Ft. Belvoir, Virginia. Conduct data collection and analysis on all test and experimentation events. Identify and solve real-world problems in areas including decision analysis supporting system design and engineering. Research and respond to inquiries, providing … analysis to support requirement determinations and associated documentation. Secret clearance is required. This ORSA role focuses on data collection, statistical analysis, and applying analytical techniques to support decision-making-rather than hardware testing. Responsibilities: Develop user surveys and survey capture plans. Develop Test Incident Reports (TIRs) formats and capture plans. Conduct data collection planning and execution for More ❯

Summary The Data Scientist supports mission operations by providing analytic technical support, translating requirements, developing models, creating visualizations, communicating insights, and collaborating with cross-functional teams. Key Responsibilities • Establish analysis and data visualization methodologies, models, and tools to derive intelligence outcomes. • Design and deliver infographics across media platforms. • Identify and process raw data, trends, and assessments to generate intelligence … Bachelor's degree or equivalent practical experience. • 4-6+ years of experience in computer science, data science, or data analytics. • Experience with Python libraries for data cleaning, EDA, statistical analysis, and visualization. • Proficiency in Python programming. • Agile development experience with tools like Jira. Preferred Qualifications • Familiarity with the Intelligence Community and the intel cycle. • Experience with the More ❯

Description Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/ More ❯

programming. Required Skills: Designing and implementing machine learning, data science, and advanced analytical algorithms. Programming and software engineering skills in at least one high level language (Python, Java, etc ) Statistical Analysis experience (variability, sampling error, inference, hypothesis testing) Data Management (data cleaning and transformation), data mining, data modeling, and assessment Artificial intelligence Effectively communicate complex technical information. Basic More ❯

engineers to ensure clean, accurate, and usable data. Monitor and update models to stay effective in a changing risk landscape. Requirements: Scripting skills in SQL and Python Experience with statistical analysis Experience with machine learning frameworks Knowledge of Large Language Models (LLMs) and other AI tools Experience within risk management would be highly desirable Benefits: Salary up to More ❯

Practical experience training, and deploying Machine Learning models (PyTorch preferred) Understanding of data structures, data modeling and software architecture. Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS preferred Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps Practical programming More ❯

Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code) Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically More ❯

data. Work with a range of data types, including structured and unstructured data, and will use a variety of tools and techniques to analyze and improve data quality. Utilize statistical analysis, data cleansing and transformation tools, and data governance frameworks for analysis and to ensure data integrity. Strong understanding of data integration principles and data governance frameworks. More ❯

Texas Recruiting is seeking a Data Scientist II to support operations in Wahiawa, HI. This role involves extracting meaning and value from large datasets through the application of mathematical, statistical, and programming methods. You will translate mission needs and analytic questions into technical requirements while communicating complex findings to non-technical audiences. Key Responsibilities Devise strategies for analyzing and … characterizing large datasets Apply mathematical, statistical, and computer science methods to extract insights Translate mission needs into technical requirements Develop and implement qualitative and quantitative data analysis techniques Communicate complex technical information to non-technical stakeholders Qualifications & Requirements U.S. Citizenship Required Active TS/SCI Polygraph Clearance Required Education & Experience: Bachelors degree with 3+ years of relevant experience … Engineering, or physical/biological sciences with advanced math/computer science coursework Certificate in Data Science may be considered with broader degrees Experience in: Machine learning, data modeling, statistical analysis, programming (e.g., Python), data mining, software engineering Preferred Skills & Experience: Experience in multiple areas of data science and analytics Familiarity with NSA/CSS data systems and More ❯

languages which may emerge as future priorities. The individual in this role will work closely with Data Scientists, providing comprehensive support and ensuring seamless coverage. A professional who utilizes statistical analysis, programming skills, and machine learning techniques to collect, clean, analyze, and interpret large datasets, extracting valuable insights and creating predictive models KEY RESPONSIBILITIES Identifying patterns, trends, and … anomalies within the data through visualization and statistical techniques Create new features or transforming existing ones to improve the performance of machine learning models Implementing models into production systems and continuously monitoring their performance to identify potential issues Troubleshoots complex problems and provides customer support as needed Develop complex data flows, or make significant enhancements to existing pipelines. Conducts … Experience with the following languages: Python, NodeJS Hands on experience working with technologies such as Nifi, Tensorflow, PyTorch, and Sagemaker Familiar with audio processing technologies such as Librosa, PyAudio Analysis or Open Smile. Familiar with text processing technologies such as NGTK, Spacy, or Stanford Core NLP Experience with cloud platforms such as AWS. DESIRED QUALIFICATIONS Ability to communicate complex More ❯

various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer More ❯

analyzes system requirements and concept of operations documents, acquisition plans, and system descriptions to develop evaluation and test plans and procedures; prepare for and conduct the data collection and analysis, and report status and results. The Test Engineer will support the development of Government T&E documentation e.g. T&E Strategy, Master Plan, Event Test Plans, Test Readiness Assessments … into and apply knowledge of Government test and evaluation concepts and related engineering, acquisition, and operations activities as needed to support the T&E activities. Plan and Execute Performance Analysis and analyze performance risk areas to focus T&E planning. Review planned acquisition approaches to support T&E schedule alignment with decision maker needs for T&E support. Specify … validate, and adapt Modeling and Simulation for T&E use. Apply Statistical Analysis of variations in performance behavior to characterize confidence in performance estimates. Select, develop, & use analysis tools. Execute the evaluation plan on data collected by the Testing Tasks. Plan and Execute Performance Data Collection. Plan program and event level testing for collection of data required More ❯

secure, scalable data lake architecture using Cloudera • Develop interactive dashboards and visualizations using Tableau • Identify and implement use cases for cybersecurity analytics, including anomaly detection, threat modeling, and behavioral analysis • Create and maintain automation scripts for data ingestion, transformation, and system monitoring • Ensure compliance with DoD STIGs (Security Technical Implementation Guides) and other federal cybersecurity standards • Collaborate with cybersecurity … independently under program direction • Big data framework: Experience with Hadoop, Spark, Hive or similar technologies • Data Governance & Security Abilities: • Cloud Platform: Experience with AWS, Azure, OCI or Google Cloud. • Statistical analysis and machine learning: Able to build models that leverage data lake for predictive insights • Optimization & performance tuning. Understand how to improve query performance and storage efficiency More ❯

you'll do Join a data-driven games studio as the Lead Marketing Analyst, driving marketing insight across global campaigns. You'll lead a small, high-performing team delivering analysis that guides spend, targeting, and impact across multiple platforms. Lead and mentor a senior analyst, embedding best practice in marketing analytics. Deliver cross-channel campaign analysis using tools … and Game Studio teams to foster a data-driven culture. What you bring Strong background in marketing analytics or data science, ideally within digital or gaming environments. Expertise in statistical analysis, attribution, and campaign measurement. Proven leadership or mentoring experience. Confident communicator with senior stakeholders, balancing commercial insight and technical depth. Hands-on experience with marketing data platforms More ❯

Experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high- level language (e.g. Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software More ❯

independently and collaboratively within a team. Strong communication skills. Experience in adversary defeat, mission management, metrics, and data visualization. Proficiency in data compilation from multiple sources using computer scripting, statistical analysis, and data modeling. Knowledge of large networks, telecom systems, and expertise in applying data science to interpret complex data sets. Company Summary GliaCell Technologies focuses on Software More ❯

strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record … of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of Databases & Database Management SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/50 in More ❯

provide critical decision and analytic support to the Urgent Solutions Division in the Counter WMD Technologies Department of the Defense Threat Reduction Agency (DTRA). Duties: Conducts assessments, demonstrations, analysis, scientific codes and other decision making in evaluating systems to counter WMD - biological and chemical threats, and counter threat network Develops knowledge regarding a stipulated issue through analysis … technical or industry knowledge on subjects in Electrical Engineering, specifically circuitry and semiconductors Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining, sensor analysis and learning techniques Designs, develops, and implements technical solutions in support of concurrent analysis. Required Qualifications: Bachelor's Degree in … Electrical Engineering or related field 1 - 5 years of experience in circuitry design and semiconductor analysis Expertise in electrical systems design Active DoD Top Secret level clearance with SCI eligibility, and the ability to maintain both Travel, up to 10% Clearance: An active Top Secret clearance with SCI eligibility is required. Applicants selected will be subject to a security More ❯

Navy Mission Essential Task List NMETL Readiness Assessment Software NRAS ); the flexibility to operate multiple computer programs simultaneously (e.g., MS Excel, MS PowerPoint, Chat, Simulation Display SIMDIS 3-D Analysis and Display Toolset, and Global Command and Control System-Maritime GCCS-M ); and familiarity with and experience operating Joint After Action Report - Resource Library (JAAR-RL). In addition … CSG-15, TTGL, and TTGP, and other training commands' implementation of the NWTS. Provide training to the training command staff and other personnel on DRRS, NWTS, NWTP, Root Cause Analysis Tool (RCAT), and Navy Readiness Assessment Suite (NRAS). Provide program support to government project leads for training plan review and management for CTF, strike and ready group warfare … provide current, accurate, and complete DRRS and Navy Readiness Reporting Enterprise (NRRE) Business Intelligence (BI) reports for use by Fleet personnel. Determine data acquisition, data collection, replay, reconstruction and analysis, debrief, and assessment requirements for QFF-supported exercises. Assist government project leads with planning, coordinating and briefing data acquisition, data collection, replay, reconstruction and analysis, debrief, and assessment More ❯

and executing performance analysis. Experience analyzing performance risk areas to inform T&E planning. Experience specifying, validating, and adapting modeling and simulation tools for T&E use. Experience applying statistical analysis of performance variation to assess confidence in estimates. Experience selecting, developing, and using analysis tools to support evaluation. Experience executing evaluation plans using data collected by … the testing team. Experience planning and executing performance data collection. Experience planning program and event-level testing to collect analysis data and synchronize with decision points. Experience establishing and using data and configuration management capabilities. Experience coordinating with systems engineering (SE) teams and reviewing T&E-related SE data to inform evaluation efforts. Experience assessing operational environments and scenarios … to support evaluation planning and user participation. Experience planning risk-tailored estimation and analysis of effectiveness and suitability metrics across all levels of T&E (inspection, demonstration, paper analysis, simulation, physical test). Experience designing surveys to evaluate Subject Matter Expert (SME) input and user performance estimates. Experience producing evaluation plans, analysis plans, data requirements, risk assessments More ❯

role with new or established electronics product lines. • Experience with manufacturing test flows and automation within space, automotive, industrial, or consumer electronics industries. • Experience or familiarity with root cause analysis of electronic devices. PREFERRED QUALIFICATIONS • Experience with space hardware qualification and test campaigns. • Experience across a whole product lifecycle, from conception to sustained production. • Experience in statistical analysis … to manage technical projects from inception to mature execution. • Fundamental knowledge of PCBA manufacturing and test flows. • Solid understanding of PCBA bring-up, test, and debug. • Experience with data analysis tools (Python, MATLAB, etc.) to decompose manufacturing process efficiency, yields, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability More ❯

our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. Software development, preferably python Structural integrity analysis Material modelling of polycrystalline materials Thermal hydraulic analysis Distilling literature information into a form which can be used to develop an engineering method Probabilistic methods Statistical analysis Desirable Experience DevOps Industrial codes namely: R6, ASME III Finite Element Analysis We're an equal opportunities employer. We're committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building More ❯

additional specialist knowledge acquired through post graduate diploma level or equivalent relevant experience, ideally in a numerate subject. Evidence of continuous professional development. Desirable Qualification or training in recognised statistical techniques. Prince 2/project. management Membership of appropriate professional body. Experience Essential Experience of planning and organisation of activities and programmes that support change and drive improvement Ability … Management and/or other ESR based learning information system Excellent working knowledge of MS Office Suite particularly MSExcel. Knowledge of Information Governance and associated issues Good knowledge of statistical analysis of data and data audit. Expert knowledge of business processes to support operational delivery Knowledge of data standards. Knowledge of performance indicators (KPI's) and performance management More ❯

ISCM) program lead in standing up the customer's Continuous Monitoring (ConMon) program Coordinate with ConMon lead to identify process improvements to the current ConMon policies and procedures Provide analysis and graphical presentations of collected metrics for ConMon compliance status reporting Provide analysis of asset on-boarding into customer's enterprise vulnerability and compliance tools (e.g. XACTA, HBSS … and supervision Bachelors of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e. CISSP or CASP)Experience briefing senior customer personnel Experience with Statistical analysis (primarily predictive) Experience supporting IC or DoD in the Cyber Security Domain Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g. More ❯