101 to 125 of 389 Permanent Statistical Analysis Jobs

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

is currently hiring a Data Scientist to provide technical support to a federal agency. In this role, the Data Scientist will design and apply machine learning models, conduct detailed statistical analysis, and partner with cross-functional teams to deliver data-driven solutions. The successful candidate will have expertise in data science methodologies and tools, and strong communication skills … to support effective collaboration. This position requires an active Secret clearance. Key Responsibilities: Design and implement machine learning models, including those using large language models Conduct statistical analysis to uncover trends, patterns, and verify insights Work alongside data engineers to operationalize models into production environments Partner with analysts and visualization teams to clearly present findings Collaborate with stakeholders … will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills in machine learning techniques and statistical modeling (preferred: experience with sampling methods and LLMs) Hands-on proficiency with SQL, Python, and other data-focused programming languages (Azure experience is a plus) Proven problem-solving and More ❯

support. Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets Develop data-driven solutions Analyze data sets found in the customer's vulnerability scanning, authorization, and configuration … management tools Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau) Provide analysis and graphical presentations of collected metrics for IA compliance status reporting Support legacy visualization and situational awareness tools based on Microsoft Excel Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat … Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP) DoD 8570 certification in IAT or IAM Deep understanding of statistics and analysis Skilled in artificial intelligence and machine learning (e.g., SageMaker) Ability to code in multiple languages, including Python Knowledge of databases, data structures, and data architectures Excellent communications skills - both More ❯

disciplines: operations research, applied mathematics, statistics, engineering (Systems or Industrial), or computer science 5 years of ORSA experience Demonstrated experience in conducting analytical studies using a variety of mathematical, statistical, and other operations research techniques to identify and define problems, develop, and investigate alternative courses of action, and present findings and options Be able to build, evaluate and model … software and visualize output with Microsoft Office 365 business intelligence tools Demonstrate knowledge and experience in identifying and solving real-world problems in areas such as capital investment, decision analysis supporting a business unit, system design and engineering, linear and non-linear programming, and trend/predictive analysis Ability to collect and organize information from a variety of … problem. Determine what is relevant to a problem and what methods might be used to analyze and brief pertinent data to senior leaders (O6-GO/SES). Use statistical analysis, simulations, predictive modeling, or other methods to analyze information and develop practical solutions to business problems Conduct data collection, apply analytical techniques in innovative ways, and determine More ❯

visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines Optimize existing databases to speed up the query, input, export, and visualization of data. Work with teams in NGA Analysis Operations (AO) Regional, Functional and Agency/CCMD Liaison Offices (collectively referred to as "AO Offices") to develop strategies for exposing new datasets and create migration plans for legacy … processes, etc.) to automate or assist analytic endeavors as submitted by applicable AO Office leadership and analytic units. Write scripts in Visual Basic, R, Python or other software for statistical models using large datasets to extract patterns, relationships, and anticipatory behaviors that are repeatable, efficient, hypothesis testing, and knowledge capture. Use mathematical concepts and techniques to solve complex GEOINT … analysis problem sets; understand concepts associated with structured data and relational databases Use tools, such as Arc GIS, Excel, SPSS, SAS, Matlab, R, or other statistical packages, to analyze and visualize operational data; visualize data both temporally and spatially Requirements Possess a Bachelor's Degree or higher in math or a science related field or possess at least More ❯

support. Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets Develop data-driven solutions Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and … configuration management tools Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau) Provide analysis and graphical presentations of collected metrics for IA compliance status reporting Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions Collaborate with Risk Management teams to develop means to integrate … s core hours (; Mon - Fri) Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start Deep understanding of statistics and analysis Skilled in artificial intelligence and machine learning (e.g., SageMaker) Ability to code in multiple languages, including Python Knowledge of databases, data structures, and data architectures Excellent communications skills - both More ❯

Polygraph Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity: CACI is seeking a data scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. You will prototype or consider several algorithms and decide upon final model based on suitable performance metrics. You … unavailable. You will generate reports and visualizations that summarize datasets and provide data-driven insights to customers. You will partner with subject matt er experts to translate manual data analysis into automated analytics. You will implement prototype algorithms within production frameworks for integration into analyst workflows. You will be part of an overall eff ort to provide life cycle … 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 ❯

responsibilities; the candidate's experience, education, and skills; location; travel required; and current market conditions. This program requires US Citizenship A 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. Required Skills The Data Scientist will support and contribute to the ever-growing complexity behind … science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact Communicate findings on complex technical topics to stakeholders across engineering leadership and product Embed with engineering teams More ❯

to understand relationships between metrics, surface insights, and implement new data models Three or more (3+) years of working cross functionally with tech and non-tech teams experience Use statistical models with large, multidimensional datasets to uncover trends, patterns, and opportunities Identify and recommend opportunities to automate processes Perform ad hoc analysis to quickly solve time-sensitive operational … issues Clearly communicate discrepancies and findings, including root cause analysis and resolution steps to a broad user base A day in the life In a typical day, a BAC Business Intelligence Engineer might work to establish new metrics for security operations, analyze trends in security data, or develop dashboards for tracking key performance indicators. You'll prototype solutions for … interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for 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 ❯

will be relied upon as the Analytic Modernization Specialist, and help others understand JEMA/Brewlytics capabilities and other analytical tools. The Analytic Modernization Specialist, will write scripts, conduct analysis, identify patterns, and use available tools to analyze data and discover hidden patterns to help solve some complex problems that face the DoD and Intelligence Community. Required Qualifications: Requires …/manipulating databases. Demonstrated experience using GOTS data and analytics capabilities to modernize analytical processes and methodologies Experience in using FADE (MIST, INTELBOOK, LINX, and WATCH BOX) to perform analysis and produce analytical discoveries Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab, Brewlytics, or JEMA) for advanced statistical analysis of operational tools and data … Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products Conduct GEOINT analysis against issues in mission areas, using various methodologies and Spatio-temporal data derived from imagery, intelligence databases, and other sources. Use understanding of geographic information science and technology, spatial 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 ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role does More ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. **Please note: Unfortunately, this role does More ❯

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯

value. This position is located in Arlington, VA. Your future duties and responsibilities: - Work in cross-functional engineering and product development teams with data at all stages of the analysis lifecycle to derive actionable insight. - Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations for data visualizations and reporting. - Verify data quality and/or ensure … it via data cleaning for accuracy and completeness. - Perform statistical analysis and utilize results to improve the model and data pipeline. - Collaborate with analytics teams and SMEs to provide recommendations for data solutions that encourage data-driven decision making across the organization. - Adept at picking up new tools and technologies. - Manage large complex projects involving diverse datasets. - Possesses … purchase plan Paid time off for vacation, holidays, and sick time Paid parental leave Learning opportunities and tuition assistance Wellness and Well-being programs Skills: Data Modeling Data Visualisation Statistical Analysis What you can expect from us: Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here More ❯

client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured … and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability More ❯

a Data Analyst, you'll be at the very heart of our mission to revolutionise Freight Forwarding. We're seeking a strategic thinker who goes beyond data preparation and statistical analysis; you'll be instrumental in unlocking the true potential of our information to drive smarter business decisions. Your ability to understand the intricate context of our operations … re an advanced SQL user with practical experience using dbt to build and manage data pipelines. Python skills would be highly beneficial. You excel at unearthing insights through data analysis and communicating your findings with crystal clarity through impactful reports and visualizations. Ideally, you'll hold a highly quantitative degree (Mathematics, Engineering, or equivalent) from a globally recognized institution. More ❯

includes improving operational efficiency, building predictive capabilities, and supporting strategic projects. Key Responsibilities Collaborate with internal customers to define business problems and translate them into data science tasks Use statistical analysis, machine learning, and visualisation to extract insights Build prototypes and production-level models using Python and cloud services (Azure preferred) Present findings clearly to non-technical stakeholders More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯