1 to 25 of 180 Remote Statistical Analysis Jobs

datasets to identify trends, patterns, and insights focused on site/function priorities and needs leveraging GMS/GQ-endorsed platforms. Conduct exploratory data analysis and data mining to uncover opportunities for process optimization and feature improvements. Enable the site's data and AI journey through extracting actionable insights … leveraging statistical analysis, machine learning, and data mining techniques to inform and support data-driven decision-making in daily operations, business growth and transformation. Perform A/B testing and statistical analysis to assess the impact of changes and features on digital products. Ensure data accuracy … and reliability in all analysis activities through validation checks and collaboration with data engineers and GMS/GQ data ecosystem. Develop and maintain dashboards and reports, delivering actionable near real-time insights and drive user engagement leveraging GMS/GQ-endorsed platforms. Create intuitive data visualizations and presentations that More ❯

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 More ❯

IQVIA is looking to appoint statistical programmers to utilize the SAS programming language to develop clinical study report materials according to the objectives of a clinical trial for regulatory submissions. Programming and performing related tasks serving the full spectrum of statistical programming needs in our DS3 environment (home … data issues Interpret project level requirements and develop programming specifications Write programming code following established Good Programming Practices Program ADaM datasets Program to create statistical analysis tables, listings, and figures Validate datasets and all statistical outputs per prescribed gate checks Communicate with internal and client statisticians and … Export data and clinical study report materials Provide training and mentoring to team members and department staff You can help us bring clinical trial statistical analysis into the next generation. Award-winning and innovative, we will give you access to cutting-edge in-house technology, allowing you to More ❯

IQVIA is looking to appoint statistical programmers to utilize the SAS programming language to develop clinical study report materials according to the objectives of a clinical trial for regulatory submissions. Programming and performing related tasks serving the full spectrum of statistical programming needs in our DS3 environment (home … data issues Interpret project level requirements and develop programming specifications Write programming code following established Good Programming Practices Program ADaM datasets Program to create statistical analysis tables, listings, and figures Validate datasets and all statistical outputs per prescribed gate checks Communicate with internal and client statisticians and … Export data and clinical study report materials Provide training and mentoring to team members and department staff You can help us bring clinical trial statistical analysis into the next generation. Award-winning and innovative, we will give you access to cutting-edge in-house technology, allowing you to More ❯

data, improving how we manage, process and use that data in support of PLOS's goals. You will be tasked with the large-scale analysis of our broad and varied collection of scholarly content, which includes research articles and associated data sets, and line of business data and information. … This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into … production services that improve the utility of this data for both our end users and internal stakeholders. Responsibilities Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of More ❯

interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile … to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and … Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in More ❯

owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Test & Evaluation, Program Mission Support, Engineering & Analysis, and Training. Responsibilities Collect, interpret, and publish data. Conduct trade studies, provide information on data quality, and perform data mining for studies regarding design … tools such as Python, R, Shiny, and Jupyter Notebooks. Provide professional and scientific expertise in performance of work requiring knowledge and application of mathematics, statistical analysis, modeling/simulation, and/or other scientific principles, methods, and techniques related to leveraging data to support the total lifecycle and … identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. Conduct data mining and retrieval, and applies statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, maintenance, and sustainment, and improve overall processes. Apply programming, statistics, and visualization to More ❯

Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other … from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be … to meet the needs of the business. • Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. • Acts as the lead statistical programmer. Directs the programming activities of other programming More ❯

Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other … from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be … to meet the needs of the business. Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. Acts as the lead statistical programmer. Directs the programming activities of other programming More ❯

successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning … with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the … statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of More ❯

to be located in the Huntsville, AL area in order to report to work on-site at Redstone Arsenal. 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 … 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. Qualifications Must be located in More ❯

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. You will work with cross … This position is Hybrid/Remote and will require 3-4 days working on-site in Washington, DC. What you will do 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 More ❯

is responsible for interpreting data, analyzing results, and generating actionable insights to guide decision-making within an organization. They work with large datasets, employing statistical tools, visualization software, and database querying to identify trends, solve problems, and support business goals. Main Duties Data Collection and Preparation: Gather data from … primary and secondary sources. Clean and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to forecast … both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data More ❯

data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders. Key Responsibilities: Collect, clean, and organize … large datasets from various sources related to energy consumption, emissions, environmental factors, and sustainability metrics. Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals. Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to … Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy More ❯

on-site on a government contract for a client located in Washington, DC. An active TS/SCI clearance is required. 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 … well as support analytic innovation, development, and data analytics activities to customers and stakeholders. Brief customers on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers. Develop machine learning models with attention to model accuracy. Draft technical methodologies and More ❯

Provide insights, solutions, and recommendations to address problem statements from the candidate initiatives. What are we looking for? Extensive experience in a senior data analysis position with strong experience in data analysis using tools such as SQL, Excel, Power BI and AWS data insight tooling. Ability to utilize … programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯

objective for the bank. The role involves working closely with our colleagues across the Business, Credit Risk, and the Chief Data Office. Key accountabilities. Analysis & investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management … elements, such as automated decisioning, capital requirements and loss expectations. Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business. Expert advice: Provide specialist advice to the business … with an emphasis on the impact and application of risk management requirements. Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks. Leadership: Mentoring and guidance for junior data scientists. Also More ❯