26 to 50 of 403 Permanent Statistical Analysis Jobs

Proficiency in tools like Tableau, Power BI, and Python-based libraries such as Matplotlib, Seaborn, and Plotly. Statistics and Mathematics : Deep understanding of linear algebra, calculus, probability, and advanced statistical techniques. Soft Skills : Exceptional communication, critical thinking, and stakeholder management skills. Preferred Skills Familiarity with advanced ML techniques, such as reinforcement learning, graph ML, and large language models (LLMs … business goals. Model Development : Design and train advanced machine learning models using frameworks such as TensorFlow, PyTorch, and scikit-learn. Insight Generation : Transform complex datasets into actionable insights using statistical analysis and advanced visualization tools like Power BI or Tableau. Technical Implementation Machine Learning Solutions : Develop models for classification, regression, clustering, and NLP using modern techniques, including deep More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

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

individual contributor Investment Data Scientists. Develop data-centric strategies and tools to improve investment processes and support deal teams. Support live due diligence by translating complex data into comprehensive analysis under tight deadlines. Perform advanced data analysis, including feature engineering and modeling. Cleanse, integrate, and analyze diverse datasets for insights. Conduct hypothesis testing, statistical analysis, and … modeling. Create and manage a roadmap for analysis improvements and new insights. Incorporate feedback from investment teams to enhance diligence outcomes. Collaborate with data and insight teams to add features and ensure data quality. What you'll do Analyze complex datasets to extract insights for investment strategies. Work with internal and external teams on data-driven growth initiatives. Manage … skills, including presentation and storytelling. Knowledge of investment, valuation, and growth principles. Advanced Python and SQL skills. Experience with machine learning and large datasets. Skills in data visualization and statistical modeling. Familiarity with AWS and Git. Company Information The Carlyle Group (NASDAQ: CG) manages $453 billion in assets, with a diverse global presence and a commitment to inclusion and More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

And Communications Exploitation (MENACE) teams. The candidate will assist in managing, enriching, and visualizing large datasets to uncover investigative leads and close intelligence gaps. Key Responsibilities • Conduct data exploitation, statistical analysis, and visualization to support federal investigative operations. • Retrieve, structure, condition, and manage large volumes of complex data from diverse sources. • Develop and deploy data pipelines and tools … actionable intelligence for law enforcement and prosecutorial teams. • Brief findings to management, stakeholders, and investigators in a clear and concise manner. • Recommend and implement improvements to data handling and analysis workflows within secure environments. • Work with little to no supervision in a high-stakes, classified setting. Required Qualifications • Security Clearance: Active Top Secret clearance with Counterintelligence Polygraph. • Education: Bachelor … science, statistics, mathematics, or a related discipline. Experience: • Minimum 5 years in data science, analytics, or related quantitative field. • Proficiency with scripting languages such as Python or R for statistical modeling and visualization. • Experience in data wrangling, normalization, de-duplication, and data conditioning. • Familiarity with relational and non-relational databases, data warehousing, and data exploration techniques. • Experience with cloud More ❯

customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: - Analyze large, complex datasets to identify trends, patterns, and actionable insights. - Develop, implement, and optimize machine learning models to solve business problems. - Conduct A/B testing and … experimental analysis to validate hypotheses. Data Management & Engineering: - Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. - Design and develop ETL pipelines and workflows for data preprocessing. - Develop automated tests to validate the processes and models you create. Collaboration & Communication: - Collaborate with stakeholders to define project goals, requirements, and deliverables. - Actively participate in design meetings to … Data Science, Statistics, Mathematics, or a related field. Experience: - 2 or more years of experience in a data science or analytics role. - Proven experience in building machine learning models, statistical analysis, and predictive analytics. - Experience designing experiments or modelling approaches to solve a specified business problem. Technical Skills: - Proficiency in programming languages such as Python or R; knowledge More ❯

Description SAIC, a leading provider of systems development & deployment, targeting and intelligence analysis, systems engineering & integration, and training capabilities and solutions for the Intelligence Community, is seeking creative and dedicated professionals to fulfill their career goals and objectives while delivering mission excellence on programs of national importance. We are seeking a highly motivated Data Scientist to join our National … driven initiatives. The candidate will leverage extensive experience to extract meaningful insights from large, structured, and unstructured data sets . In addition, the candidate will leverage their expertise in statistical analysis, machine learning and data visualization. The candidate will drive decision-making processes and strategic planning across various business units . The candidate will also work closely with More ❯

w/Polygraph supporting our Engineering Services and Solutions Division in Annapolis Junction, MD. Key Responsibilities: Data Science & Engineering: Lead and execute the development of advanced machine learning models, statistical analyses, and predictive algorithms to identify security threats and anomalies within large, complex datasets. SIEM Expertise: Design, implement, and optimize SIEM solutions, particularly in Splunk and Elastic Search environments … 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. Pay Range: There are many factors that can influence final More ❯

mission. This position is located in our Washington DC office Your future duties and responsibilities: Data Collection and Preparation: Gathering data from various sources, cleaning and transforming it for analysis, and ensuring data quality. Data Analysis and Modeling: Applying statistical methods, machine learning algorithms, and other analytical techniques to identify patterns, trends, and relationships within the data. … Suite, and proficient oral and written communication skills Highly Desired: Python, Jupiter Notebooks, R Suite, Tableau Programming: Proficiency in languages like Python and R, and potentially others like SQL. Statistical Analysis: Strong understanding of statistical concepts and techniques. Machine Learning: Knowledge of various algorithms and techniques for building predictive models. Data Visualization: Ability to create informative and More ❯

Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers Research and … implement optimization models, strategies, and methods to inform data management activities and analysis Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments Conduct peer reviews to improve quality of workflows, procedures, and methodologies Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge … identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships More ❯

/HUMINT efforts. Roles and Responsibilities A qualified candidate will perform the following duties and responsibilities, but are not limited to: Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Utilizes scientific techniques to correlate data into graphical, written, visual, and verbal narrative products which enable informed analytic decision making. Able to … and builds AI tools that automate organizational processes. Typical duties include: creating various ML-based tools and/or processes (e.g. recommendation engines or automated lead scoring systems) Statical Analysis Applying advanced data mining techniques Build high-quality prediction systems Other associated skillsets: Data visualization and use of graphical applications to include MS Office (Power B) and Tableau. Major More ❯

stakeholders into tangible operational deliverables, tools, and insights and/or consolidated requirements for central data products. Gather detailed specifications and define success criteria for analytical projects. Advanced Data Analysis & Insights Generation: Oversee and contribute to the development of robust dashboards and reporting frameworks (using SQL, Tableau, etc.). Drive the generation of deep, actionable insights from complex, sometimes … querying and data manipulation; high proficiency in Excel/Google Sheets; experience with BI/visualization tools (e.g., Tableau, Looker, Power BI). Desirable: Experience with Python (for data analysis libraries like Pandas, NumPy) and/or Google Apps Script for automation and integration. Analytical Rigor: Strong quantitative and analytical skills, with expertise in A/B testing, statistical analysis, and experiment design. Data & Business Acumen: Deep understanding of data architecture concepts and best practices. Proven experience working with both ambiguous/imperfect data sets and seeing/striving for best-in-class data structures and practices. Experience translating business needs (from Operations) into data requirements. Communication & Stakeholder Management: Excellent verbal and written communication skills. Crucially, you More ❯

proactive operations in the customer and vehicle domains. Pricing Modelling - Develop models that forecast trends, improve decision-making, and refine pricing strategies to drive revenue growth. Business Insights and Analysis - Conduct exploratory analyses to uncover opportunities, trends, and risks, providing actionable recommendations to leadership. Data Visualization and Reporting - Build and maintain dashboards in Tableau, leveraging multiple data sets and … data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and More ❯

Required Skills/Qualifications: • 8+ years of relevant work experience OR 6+ years of relevant work experience with Masters Degree • 3+ years of experience with data analytics, data engineering, statistical analysis, or artificial intelligence and machine learning • 3+ years of experience with common data science languages, including Python and R • 3+ years of experience retrieving, merging, and analyzing … s degree in computer sciences, information systems, engineering or other related technical discipline About Us: Agile Defense delivers IT strategy, cloud, cybersecurity, application, data and analytics, enterprise IT, intelligence analysis, and mission operation support services to accelerate technical performance and efficiency for Defense, Civilian, and National Security & Federal Law Enforcement clients. Employees of Agile Defense are our number one More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

for collecting, organizing, and analyzing financial data to provide insights and support decision-making within the organization. The ideal candidate should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of More ❯

support decision-making. Ability to create tools to help solve business problems and provide quick, practical solutions Ensure accuracy and integrity of data by implementing data quality checks. Use statistical techniques to interpret data, identify correlations, and provide actionable recommendations. Assist in conducting market research and competitive analysis to inform product development and marketing strategies. Requirements Expert Excel … build tools quickly, troubleshoot with ease, and help teach others Experience with data visualisation tools (e.g., Tableau, Power BI) to create insightful reports and dashboards. Strong knowledge of data analysis tools and languages such as SQL, Python, or R. Proven experience as a Data Analyst or in a similar analytical role. Ability to work across multiple projects and juggle … Excellent problem-solving skills and attention to detail. Strong communication abilities to present findings to stakeholders. Ability to work both independently and collaboratively within a team environment. Familiarity with statistical analysis techniques and methodologies. More ❯

companies, academic institutions, and regulatory agencies across 62 countries. The Associate Director will be responsible for dDesigning, developing, and maintaining R-based tools and workflows for drug discovery, data analysis, and computational simulations. Should be able to adapt existing R scripts and update them to meet new requirements. Ensure code is clean, efficient, and well-documented. Will work closely … with cross-functional teams, including the model-based meta-analysis team, data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team … programming activities. Qualifications Bachelor's or Master's degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

Senior Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Senior Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … on enabling us to deliver more value for customers and clients. You'll enjoy the journey from uncovering and profiling new value pools and getting hands on with data analysis to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in a new Data & AI … up to date with the latest techniques. To be successful, you'll need strong analytical skills to identify key value drivers and model potential scenarios, and be familiar with statistical methods to ensure that we are robust and credible in our efforts to take an insight-led approach to inform our decision making at a strategic level. Key Responsibilities More ❯

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

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯