126 to 150 of 288 Permanent Statistical Analysis Jobs

patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models … Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods More ❯

patterns exist in customer charging behaviour? How can we use data to drive operational efficiency and profitability? This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models … Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/AWS using SQL and Python Apply statistical techniques (segmentation, regression, predictive modelling) Partner with stakeholders to translate business questions into data-driven answers About You Strong experience with SQL and Python (Jupyter Notebooks) Solid grounding in statistical analysis and forecasting methods More ❯

interacting with petabyte-scale data on supercomputing resources. Responsibilities Retrieve and process massive structured and unstructured datasets Build ML models and automated systems like recommendation and scoring tools Perform statistical analysis and data mining to create predictive systems Visualize insights using Microsoft Office, Tableau, Python, R Develop ML prototype solutions with TensorFlow, PyTorch etc. Evaluate model performance by More ❯

problems with substantial data sets Programming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-have Ability to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domains Ability to independently own and drive model development while balancing competing demands and More ❯

/year WHAT YOU'LL DO As a Data Scientist III, you will: • Extract insights from large datasets using math, stats, computer science, and domain knowledge • Apply analytic modeling, statistical analysis, and programming techniques • Evaluate data of varying format and quality • Translate mission needs into technical requirements • Communicate findings to non-technical audiences • Stay current on NSA/… CSS data capabilities and limitations KEY SKILL AREAS (must have experience in at least 2) 1️ Foundations: Mathematical, Computational, Statistical 2️ Data Processing: Data curation, visualization, workflow, reproducibility 3️ Modeling & Prediction: Data modeling, domain-specific assessment QUALIFICATIONS Bachelor's with 10 years relevant experience OR Associate's with 12 years Degree must be in: • Mathematics, Statistics, Machine Learning, Data … unless paired with a Certificate in Data Science from an accredited institution ️ Relevant Experience Must Include One or More of the Following: • Machine Learning Design/Implementation • Data Science & Analysis • Analytical Algorithm Development • High-Level Programming (e.g., Python) • Statistical Modeling (e.g., hypothesis testing, EDA, linear models) • Data Cleaning/Transformation • Data Mining • Data Modeling & Assessment • Artificial Intelligence • Software More ❯

data science effectiveness by evaluating analytical capabilities, conducting technique assessments, identifying methodology gaps, establishing performance metrics, and aligning with organizational business objectives. Leading continuous improvement initiatives through data process analysis, architectural enhancements, analytical workflow optimization, and capability enhancement roadmaps. Enhancing predictive modeling capabilities by designing implementation procedures, developing standardized approaches for different model types, establishing validation protocols, and coordinating … fine-tuning algorithms, synthesizing multi-source data, ensuring system integration, and recommending technical enhancements. Implementing data automation by identifying suitable processes, designing ETL workflows, developing code scripts, implementing automated analysis responses, and documenting procedures. Managing the data reporting lifecycle from collection to distribution, ensuring timely delivery, implementing feedback mechanisms, establishing archival procedures, and meeting compliance requirements. Fostering agile data … knowledge sharing, and building stakeholder relationships. Leading data integration through architecture design, API implementation, data normalization, integration testing, and comprehensive documentation. Driving advanced analytics by developing collection strategies, implementing statistical techniques, creating insightful visualizations, designing KPIs, and leveraging data for strategic decision-making. This SETA role provides technical and programmatic support to government teams by translating mission needs into More ❯

Analyst to turn data into actionable insights that drive business decisions. You'll work closely with stakeholders across the company, combining technical skills with analytical thinking to support reporting, analysis, and data-driven decision making. This role offers opportunities to learn advanced analytics techniques, collaborate with experienced data engineers and scientists, and have a meaningful impact on the business. … optimise a wide range of BI reports . Analyse data to uncover actionable insights for marketing, product, and content decisions. Support diverse projects, such as A/B test analysis, content performance evaluation, and website engagement metrics. Help enhance the internal data model , including identifying new tables or pipelines. Collaborate with technical and non-technical stakeholders across the business. … Work within a team of data analysts, engineers, and scientists , contributing to shared knowledge. Opportunity to develop skills in predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to More ❯

contingent upon contract award, with an anticipated decision expected by Winter/Spring 2026. The Data Analyst responsibilities include, but are not limited to: Collects, processes, and performs sophisticated statistical analyses on large datasets to support intelligence decision-making within the MARS framework Develops dashboards and visualizations to present actionable insights to intelligence analysts and decision-makers Collaborates with … Ensures data integrity and accuracy, adhering to security and confidentiality protocols Utilizes advanced analytical tools and techniques to identify trends, patterns, and anomalies in intelligence data Continuously refines data analysis processes to enhance the quality and effectiveness of intelligence operations Qualifications Active TS/SCI with Polygraph Bachelor's Degree in IT, Cybersecurity, Computer Science, Information Systems, Data Science … degree) Active Certification: CCISO, CISM, CISSP, GSLC, GSEC, or SSCP Proficiency in analyzing datasets, generating insights, and creating reports to support decision-making processes Experience in data cleaning, performing statistical analysis, and visualizing data using tools like Tableau or Power BI Strong understanding of database management and data warehousing concepts Target salary range: $80,001 - $120,000. The More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

VA and Patrick Space Force Base, FL. This Mid-level Data Scientist will be working in a classified environment and will conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Responsibilities will include: Create data packages in the form of databases, reports, and visualizations Communicate ongoing data science activities, technical findings, and … Virginia, designs and delivers advanced defense, intelligence, and security solutions that support the important missions of our customers. Our pride and dedication shows in everything we do-from intelligence analysis, cyber operations and IT expertise to systems development, systems integration, and operations and maintenance services. Knowing that our work enables the U.S. military and government to recognize, manage and More ❯

scratch. Transform machine learning models into APIs for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for More ❯

Data Analytics Experience in machine learning and data science Experience conducting model feasibility research and algorithm development for machine learning Desired Qualifications: Graduate experience working with probabilistic and stochastic statistical analysis or computational intelligence Strong object-oriented programming skills Containerization experience is a plus, particularly using Docker and Kubernetes Cloud services (AWS, GCP, Azure) Experience with development tools More ❯

On-site Clearance Required: TS/SCI with willingness to sit for CI Polygraph Position Overview: We are seeking a talented and motivated Senior Data Scientist with expertise in statistical analysis, artificial intelligence and machine learning, to join our team. In this role, you will be responsible for developing advanced algorithms and data-driven solutions that address complex … of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive … collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Conduct customer elicitation to identify processing problems due to procedures, tools More ❯

support the development and implementation of modeling and simulation (M&S) solutions for a variety of Mission Engineering projects. This role will involve contributing to operational planning, system performance analysis, and mission effectiveness studies. The ideal candidate will have strong analytical skills and a passion for leveraging technology to solve complex problems. The candidates will support the Office of … and Simulation Activities: Participate in the design, development, and execution of M&S projects under the guidance of senior analysts. This includes creating models, running simulations, and performing data analysis to evaluate system performance and mission outcomes. Data Analysis and Interpretation: Assist in collecting, processing, and analyzing simulation data. Use statistical and analytical methods to interpret the … results and provide insights and recommendations based on the findings. Documentation and Reporting: Contribute to the preparation of technical documentation, including model descriptions, simulation plans, and analysis reports. Ensure that all documentation is accurate, comprehensive, and adheres to project standards. Collaboration and Communication: Work collaboratively with cross-functional teams, including engineers, analysts, and project managers, to ensure alignment of More ❯

Full-time permanent The job You will be gathering, analyzing, and synthesizing competitive intelligence to inform strategic business decisions and maintain our competitive advantage in the marketplace.Intelligence gathering and analysis Conduct comprehensive competitive landscape assessments and market research Monitor competitor activities, technology launches, go-to-market approach, pricing strategies, and market positioning Analyze competitor financial performance, organizational changes, partnerships … landscape Examine data to identify patterns, trends, and strategic implicationsStrategic insights and reporting Build comprehensive profiles for each major market player, refreshed annually Support Quarterly Competitive Benchmark including competitive analysis reports and executive briefings Support annual 5-year Strategic Planning with intelligence inputs Support ad-hoc data requests approximately 3 - 5 per monthCross-functional collaborationIntelligence program management Contribute to … role in driving AVEVA's growth by developing and guiding the overall direction and success of our organisation. The team's primary purpose is to develop strategies, conduct business analysis for executive decisions, and operationalise mechanisms that help AVEVA to achieve our long-term objectives.We are seeking a strategic and analytical Market and Competitive Intelligence Analyst to join our More ❯

college/university Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms programming (skill in at least one high-level language (e.g., Python , statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence … science, and application specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and More ❯

seeking a Data Analyst to work on-site for a client located in Springfield or Lorton, VA. An active TS/SCI clearance is required. Responsibilities Deliver comprehensive data analysis, review, and investigative support to the client, ensuring effective detection of potential threats and anomalous behavior across the enterprise. Examine, analyze, and search insider threat data to identify patterns … Master's degree with 2+ years of prior relevant experience. Current TS/SCI and must be a U.S. citizen. Minimum of 4 years demonstrated knowledge of proficiency in statistical analysis, data mining, and predictive modeling. Minimum of 4 years demonstrated knowledge of the intelligence cycle, processes, and organizations. Minimum of 4 years demonstrated experience creating advanced correlation … network security, and data protection. Experience with user and entity behavior analytics (UEBA) tools or platforms. Strong SQL skills for querying databases and extracting relevant data. Ability to apply statistical methods to identify patterns, anomalies, or trends in data. Familiarity with machine learning for predictive modeling. Understanding of insider threat indicators, such as unauthorized access, data exfiltration, or policy More ❯

of audiences. Ability to perform frequent internal and external customer interface including regularly scheduled and ad hoc meetings. Strong background in requirements development and data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques in a DOD setting. Ability to extract meaningful insights from complex datasets and present them in a clear and concise manner. More ❯

Bachelor's degree may be substituted for a Master's degree. Demonstrated abilities in software engineering and AI/ML model test and evaluation. - Select appropriate data sets - Perform statistical analysis - Run machine learning algorithms - Use results to improve models - Train and retrain systems when needed - Experience in working with various ML libraries and packages - Run standard test More ❯

with the Head of Analytics to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources … Translate complex analysis into clear recommendations for non-technical stakeholders What You'll Need: Strong SQL and Python skills; experience in AWS environments is a plus Solid statistical analysis background (segmentation, regression, forecasting) Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering More ❯