26 to 50 of 202 Permanent Statistical Analysis Jobs

project his position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone. Responsibilities Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables. Responsible for integrating multiple disciplines in … analytic tools, procedures, and methodologies used. Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience. Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment. Education and Experience 8+ years in a technical field BA More ❯

procedures for producing and inspecting precision and accuracy of products and production equipment. • Designs and analyzes inspection and testing processes, mechanisms, and equipment; conducts quality assurance tests; and performs statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications. • Audits quality systems for deficiency identification … product or process quality. • May be certified in lean and six-sigma quality engineering methodologies. Analyzes inspection and testing processes, mechanisms, and equipment; conducts quality assurance tests; and performs statistical analysis to assess the cost of and determine the responsibility for, products or materials that do not meet required standards and specifications. • Audits quality systems for deficiency identification More ❯

mission. This position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone. Responsibilities Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables. Responsible for integrating multiple disciplines in … analytic tools, procedures, and methodologies used. Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience. Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment. Education and Experience 4+ years in a technical field BA More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends … analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools. Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages. Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to More ❯

Tech Observer is hiring Senior Statistical Programmers and Principal Programmers in UK and Europe on FSP. Job Responsibilities (But not limited to) Carry out all activities according to Tech Observer SOPs working within the framework of the Quality Management System and to Good Clinical Practice (GCP). Ensure adherence to programming guidelines. Implement and follow the latest versions of … CDISC, FDA Guidelines, GCP and other industry standards; Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures and study related documentation (e.g. data validation guidelines). Review and interpret Report and Analysis Plans and provide comments for assigned projects. Develop and review SAS programs and output for the management … of clinical trial data, the tabulation of data, preparation of patient data listings, graphical output, and creation of derived datasets and statistical analysis of data as specified in the Statistical or Report Analysis Plans. Develop SAS programs for ad hoc tables and listings. Write, modify, and maintain programs that produce diagnostics and listing for data review More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … practical experience. 4 - 6+ years of experience in computer science, data science, data analytics. Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. Strong proficiency in programming languages such as Python. Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: Familiarity and … with the Intelligence Community (IC), and the intel cycle. Familiarity and experience with the Department of Homeland Security (DHS). Ability, openness, and eagerness to learn. Responsibilities: Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends More ❯

be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams … practical experience. • 4 - 6+ years of experience in computer science, data science, data analytics. • Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization. • Strong proficiency in programming languages such as Python. • Agile development experience along with related technologies (e.g., Jira). Preferred Qualifications: , • Familiarity and … with the Intelligence Community (IC), and the intel cycle. • Familiarity and experience with the Department of Homeland Security (DHS). • Ability, openness, and eagerness to learn. Responsibilities: • Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. • Design and deliver infographics across a range of media platforms. • Identify and process raw data, trends More ❯

normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects. This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/… data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced … statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member of a software development process. Qualifications Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience in More ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

of qualified and diverse individuals. The qualified applicant will join of our team on Fort Meade. As an SGA, you will be given the opportunity to showcase your SIGINT Analysis expertise while supporting missions that are vital to our national security. Position Description: Applies geographic information science in response to intelligence needs using SIGINT data, to include: the application … spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use … the maintenance of reference knowledge databases and dissemination of intelligence.Qualifications: Relevant experience must be in an area directly related to the customer's mission (e.g., collection, cyber and intelligence analysis), in a similar mission in the IC or DoD, in geospatial analysis and/or geospatial information systems. At least some experience conducting geospatial analysis is preferred. More ❯

Description Job Summary Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within … the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Job Specific Duties Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics … technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices. Qualifications Minimum Job Requirements Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required More ❯

Description Job Summary Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within … the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Job Specific Duties Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics … technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices. Qualifications Minimum Job Requirements Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required More ❯

Description Job Summary Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within … the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Job Specific Duties Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics … technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices. Qualifications Minimum Job Requirements Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required More ❯

Description Job Summary Responsible for leveraging advanced analytics, machine learning and statistical methodologies to extract meaningful insights from healthcare and operational data at Nicklaus Children's Health System. Areas of focus include analysis of electronic health records (EHR), genomic and precision medicine initiatives, financials and enterprise resource planning (ERP) data. Collaborates with researchers, clinical and operational teams within … the health system. Works to ensure all data analysis activities are performed in accordance with applicable federal regulations, HIPAA requirements, and health system policies and procedures. Job Specific Duties Applies machine learning, natural language processing, and AI techniques to analyze structured and unstructured healthcare data, including clinical, genomics, and operational datasets. Develops predictive models integrating multi-omics data (genomics … technical solutions, and communicate effectively. Maintains comprehensive documentation of analytical methods, validate analytical approaches, and ensure reproducibility of research findings. Provides technical expertise and training team members on data analysis techniques and healthcare analytics best practices. Qualifications Minimum Job Requirements Bachelor's degree in data science, Statistics, Computer Science, Mathematics, Biostatistics, Bioinformatics, ore related quantitative field. (Required More ❯

capabilities to perform system development life cycle (SDLC) tasks in the development and support of applications and systems. The successful candidate will serve as a developer in the data analysis group supporting multiple Microsoft technologies. Responsibilities: Participate as an active member of the scrum team, providing input to team velocity and sprint ceremonies, planning, demonstrations and retrospectives Design and … adhering to standards and design principles Produce quality and timely deliverables Derive insight and understanding from large data sets through data visualization Build informative reports/dashboards, application of statistical methods, and deep investigation Support root cause analysis and resolution for complex issues regarding performance, scaling, and custom configuration Apply advanced knowledge in using data visualization effectively to … and 16 years of professional experience Proficient in Microsoft PowerBI Knowledge in SQL programming skills with understanding of database capabilities Experience with data visualization tools and techniques Understanding of statistical methods and their application Experience with agile/scrum methodologies Excellent presentation and communication skills Experience collaborating with cross-functional teams Ability to translate complex data insights into actionable More ❯

Power BI Min Exp: 7 years RTO: 3 days (hybrid) You will be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI … value • Supporting the data engineering team by validating data pipeline outputs and providing feedback • Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives • Documenting analysis methodologies, findings, and recommendations • Helping stakeholders interpret data and make data-driven decisions • Performing ad-hoc analysis to answer business questions and support initiatives You have: • Proficiency in … SQL for data querying and manipulation • Experience with Python for data analysis and visualization (pandas, numpy, matplotlib, etc.) • Experience working with cloud-based data warehousing solutions like Snowflake • Ability to create insightful data visualizations and reports using tools like Power BI • Strong analytical skills and attention to detail • Excellent communication skills to translate technical findings to non-technical stakeholders More ❯

Power BI Min Exp: 7 years RTO: 3 days (hybrid) You will be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI … value • Supporting the data engineering team by validating data pipeline outputs and providing feedback • Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives • Documenting analysis methodologies, findings, and recommendations • Helping stakeholders interpret data and make data-driven decisions • Performing ad-hoc analysis to answer business questions and support initiatives You have: • Proficiency in … SQL for data querying and manipulation • Experience with Python for data analysis and visualization (pandas, numpy, matplotlib, etc.) • Experience working with cloud-based data warehousing solutions like Snowflake • Ability to create insightful data visualizations and reports using tools like Power BI • Strong analytical skills and attention to detail • Excellent communication skills to translate technical findings to non-technical stakeholders More ❯

Power BI Min Exp: 7 years RTO: 3 days (hybrid) You will be responsible for: • Collaborating with cross-functional teams to understand business requirements and translate them into data analysis solutions • Analyzing complex datasets using SQL, Python and visualization tools to extract meaningful insights and support decision-making • Creating and maintaining dashboards and reports using tools like Power BI … value • Supporting the data engineering team by validating data pipeline outputs and providing feedback • Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives • Documenting analysis methodologies, findings, and recommendations • Helping stakeholders interpret data and make data-driven decisions • Performing ad-hoc analysis to answer business questions and support initiatives You have: • Proficiency in … SQL for data querying and manipulation • Experience with Python for data analysis and visualization (pandas, numpy, matplotlib, etc.) • Experience working with cloud-based data warehousing solutions like Snowflake • Ability to create insightful data visualizations and reports using tools like Power BI • Strong analytical skills and attention to detail • Excellent communication skills to translate technical findings to non-technical stakeholders More ❯

needs into data solutions, develop dashboards, and guide junior analysts. Key Responsibilities Design and execute complex data analyses to support business strategy and operations. Interpret data, analyse results using statistical techniques, and provide actionable insights. Collaborate with stakeholders to identify opportunities for data-driven decision-making. Develop and maintain dashboards and reports to track key performance indicators (KPIs). … accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with statistical analysis More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Evaluate and optimize thermal solution requirements of … consumer electronic products - Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products - Validate design modifications for thermal concerns using simulation and actual prototypes - Establish temperature thresholds for user comfort level and component level considering reliability requirements - Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use … of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and More ❯

spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis, and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use More ❯

Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. The data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or … training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject … information from a variety of data formats (e.g., SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics More ❯

national security investigators and analysts to understand their data science needs, suggest solutions, and complete the work in a timely manner. Lead and/or design machine learning (ML), statistical analysis, and data analysis tasks. Leverage existing and/or conduct custom Extract Transform Load (ETL) work to aggregate data from multiple repositories and condition the data … search, and retention. Design new software code to improve data search processes, and design, test, and validate the quality of data and data processes. Automate routine workflows and data analysis steps to assist with workflow automation. Report results of analyses and provide actionable recommendations. What You Need to Succeed (Minimum Requirements): TS/SCI Clearance Eight (8) years of More ❯