1 to 25 of 143 Statistical Analysis Jobs

support data-driven decision-making across the organization. You will collaborate closely with various stakeholders to identify business needs, design data models, perform statistical analysis, and present findings in a clear and concise manner. The ideal candidate has a strong analytical mindset, advanced data manipulation skills … efficient data models, databases, and reporting systems. Identify, analyse, and interpret trends or patterns in complex data sets to support strategic business decisions. Conduct statistical analysis and generate meaningful reports and visualizations to communicate findings effectively. Collaborate with cross-functional teams to define key performance indicators (KPIs ...

Opportunity: Statistical Programmer 6 Months (possible extension) Redwood City, CA (Hybrid) This position will be responsible for statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards and requirements … work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need. In this position, Statistical Programmer is expected to: Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis ...

that drive informed decision‐making for our clients. You will also work closely with clients to help shape their data strategy. Key responsibilities Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards … etc. Client interaction : Collaborating with clients to understand their needs, translating these into analytical solutions, and presenting findings in a clear, actionable manner. Requirements Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

clients' needs. The role is very hands‐on and you'll support as a senior contributor role for a project, focusing on: Data analysis and reporting : Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation : Producing BI dashboards using … that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution. Key responsibilities Analysis and synthesis Application of analytical techniques : Proficiency in applying various analytical methods such as statistical analysis, data mining, and qualitative analysis. Ability ...

real weight with regulators, courts, customers and candidates, and the methodology behind them has to hold up. The role spans AI system evaluation, rigorous statistical analysis, synthetic data generation, and an applied understanding of hiring and selection procedures. You'll join a team with deep expertise in behavioral … social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within real product goals and constraints, built ...

professional with strong analytical skills and the ability to work collaboratively with cross-functional teams. The ideal candidate will have experience in data visualization, statistical analysis, and data management. Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain dashboards … them into data-driven solutions. Ensure data accuracy and integrity by performing regular data validation and quality checks. Provide actionable recommendations based on data analysis to improve business performance. Stay updated on industry trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Data Science ...

shaping the future of marketing technology — and actually enjoys doing it — you're in the right place. Find us on Instagram: @optimizely Introduction Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy in our products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product ...

related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … agents. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience in software development and source control methodologies. Experience working with cloud ...

data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to our client's users and customers. In this … role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on our Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues. Behind everything ...

client’s team in Central London. You’ll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions This is a client-facing position where you’ll work embedded within the client’s team … initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights Present findings and recommendations to stakeholders Design, build, and optimize semantic data models in Power ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

Data Scientist to join our AI Data Science team. In this role, you will develop and apply advanced machine learning, generative AI, and statistical techniques to improve the intelligence, effectiveness, and reliability of Intermedia's digital agents. You will work on challenging problems involving large language models, retrieval, agent … completion, reliability, safety, and customer experience. Design offline and online experiments to compare models, prompts, retrieval strategies, agent configurations, and other AI approaches. Apply statistical analysis, hypothesis testing, segmentation, and other quantitative methods to evaluate AI performance and identify opportunities for improvement. Define appropriate metrics and benchmarks that ...

multiple sources Design and implement robust monitoring, alerting, and health check programs to ensure sustained data and model performance at scale Drive experimentation and statistical analysis to uncover actionable insights and inform decision-making across business domainsPartner with cross-functional leaders to align analytics initiatives with strategic objectives … mentoring data-focused teams Proficiency in SQL and at least one programming language (e.g., Python, R) Strong background in experimentation design, causal inference, and statistical analysis Experience working with large-scale data pipelines and production-level analytics systems Proven ability to drive measurable business impact through data ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with ...

seekers and recruiters, ensuring high performance, scalability, and reliability at global scale. Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems. Collaborate with engineers, scientists, and product managers to define … that improve hiring outcomes across both industry and student requisitions worldwide. Basic Qualifications Experience in solving business problems through machine learning, data mining and statistical algorithms Experience programming in Java, C++, Python or related language Speak, write, and read fluently in English Preferred Qualifications PhD in computer science, machine ...

communicate progress and deliver results. Sharp analytical skills — you love digging into data, solving problems, and turning insights into action. You’re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA) Exceptional communication and stakeholder management skills — you can influence at all levels ...

diverse range of research projects. The Data Scientist I works collaboratively with statisticians, researchers, methodologists, software developers, and subject matter experts to develop statistical, data science, and computational solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine … structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building statistical and machine learning models, creating data products and applications, and evaluating AI approaches for research and operational use. The ideal candidate possesses strong Python ...

understand their requirements and translate them into practical analytical solutions. Analyse large and complex datasets to identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical solutions. Challenge assumptions and investigate the underlying drivers behind business performance. Reporting & Visualisation Develop and maintain Tableau dashboards and reporting for teams across the business. Improve existing reports and identify opportunities to make ...

between business goals and technical execution. Your day to day will include: Analysing and understanding a business problem or opportunity Undertaking research and analysis to understand how a business or business area works, considering the people, organisation, processes, information, data and technology Identifying areas for improvement, explore feasible options … needs to enable effective design, development and testing of services and business change making decisions related to prioritisation and minimum viable product by using analysis led insights Ensuring new products and services meet business and user needs, and are aligned with organisational goals Understanding any business and policy constraints ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

multiple disparate sources. Incumbents are tasked with identifying meaningful insights from large data and metadata sources; and interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers. The senior data scientist will mentor team members to cultivate the skills and knowledge necessary … results to stakeholders and facilitate the deployment of models to production systems. What you will do Data Science & Modeling Design, develop, validate, and deploy statistical models, machine learning solutions, and advanced analytics to address complex business challenges. Translate business requirements into analytical approaches, model outputs, and actionable recommendations. Perform ...

Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

goes beyond traditional A/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise … PlayStation. Design robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Research, evaluate and prototype statistical, machine learning and AI techniques to solve complex real-world measurement challenges. Apply advanced data science and machine learning techniques where appropriate to complement ...

leaders and cross-functional teams, you will produce insightful reports and presentations that clearly communicate trends, opportunities and recommended actions. Key responsibilities Conduct strategic analysis to identify, assess and recommend opportunities to optimise business performance. Analyse large and complex datasets to uncover trends, risks and commercially valuable insights. Design … stakeholders. Build effective working relationships across the organisation. Present complex information through compelling data storytelling. Skills and experience Proven experience in a business analysis, data analysis or commercially focused analytical role. Strong SQL skills are essential. Experience analysing and managing large or complex datasets. Strong statistical analysis ...