176 to 200 of 408 Statistical Analysis Jobs

activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas. Job Description … data accessibility across the R&D organisation. Perform data mining, data exploration and feature generation to bring proof of concept AI/ML/statistical/mechanistic/hybrid modelling in collaboration with data scientists and bench scientists. Serve as part of the technical support team for software utilised ...

manner to drive data-driven decision making. Deliver deep-dive customer insight and recommendations that explain customer performance and behavioural trends. Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means … Held: Be vocal and maintain your point of view while remaining open to new ideas, challenge and opposing perspectives. Who you are: Proficiency in statistical analysis, customer analytics and data visualisation tools. Experience working with large customer, marketing, loyalty or digital datasets. (3+ years) Proven experience writing code ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation - Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/ ...

governance and data quality standards Develop KPI frameworks and reporting standards to ensure consistent measurement across the business Deliver customer segmentation, profiling and performance analysis to support growth and retention strategies Partner with commercial, marketing and leadership teams to translate insight into action Promote best practice in analytics, data … model development Strong SQL skills and experience working across multiple data sources Experience designing KPI frameworks and performance measurement methodologies A strong understanding of statistical analysis and its application to commercial challenges The ability to communicate complex findings clearly to both technical and non-technical stakeholders A commercially ...

including resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness.Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes.Identify and test solutionsTurn analytical insight into concrete proposals to improve … opportunities to help the team prioritise where to invest.Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes.Use statistical modelling and causal inference where controlled experiments are not practical.Shape the automation strategyDetermine the right intervention for different customer problems — whether they should be automated ...

software to manage inventory lifecycle, track shipments, resolve inventory control issue, and implement process improvements for better fulfillment and customer satisfaction. Key Responsibilities Data Analysis & Forecasting: Analyze historical data, processing capabilities and incoming supply to forecast demand and manage inventory levels. Inventory Management: Develop and implement strategies to reduce … degree in Supply Chain, Business, Finance, or related field. Technical Skills: Proficiency in Inventory Management Software, ERP systems, MS Excel, Power BI, and data analysis tools. Analytical Skills: Strong problem-solving, forecasting, and statistical analysis abilities. Soft Skills: Excellent communication, organization, attention to detail, and ability ...

Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making.Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively.Lead … Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables.Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong ...

stakeholders to understand objectives and translate business challenges into data-driven recommendations.Support key business processes including trading, budgeting, forecasting and commercial planning.Deliver ad hoc analysis to support projects, initiatives and business priorities.Create and maintain clear, accurate and engaging dashboards that enable self-service access to insights.Use data visualisation techniques … window functions and cloud-based data environments.Experience with Looker or similar business intelligence and dashboarding tools.Strong understanding of GA4 and digital performance analytics.Expertise in statistical analysis, modelling and data-driven decision-making techniques.Experience working within a fast-paced direct-to-consumer (D2C) retail or eCommerce environment.Experience within apparel ...

looking for a passionate Analytics Engineer to join our Actuarial and Underwriting Analytics team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. The Actuarial team works seamlessly with Underwriting to help the company ...

MarTech platforms.Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI.Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation.Proven ability to transform complex data into clear, actionable business insights.Experience working with customer segmentation, personalization, lead scoring, and predictive ...

platforms. Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI.Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation. Proven ability to transform complex data into clear, actionable business insights. Experience working with customer segmentation, personalization, lead scoring ...

experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production. Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise ...

Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise ...

planning and efficiency optimisation Learn BMA's core technologies and the proprietary DecisioTM platform Gather, transform, and validate data to design solutions Conduct scenario analysis and network design optimisation Develop mathematical models to meet internal and client requirements Participate in system development, testing, deployment, and feedback Bachelor's degree … higher, in Mathematics, Engineering, Water Engineering, Water Sciences, Data Science, Statistical/Decision Sciences, or a STEM equivalent Proficiency in advanced analytics and data science: statistical analysis, forecasting, predictive modelling, and optimisation algorithms Strong Microsoft Excel skills, plus familiarity with MS SQL Server, Python, R, linear programming ...

strategic approach specific to the study design and opportunity specifics;Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;Translate the results … feasibility research and analysis into compelling data visualisations which illustrate the overall feasibility strategy including enrolment modelling;Design and implement database architecture plans and perform custom queries for methodological and clinical data sources;Perform development and review of proposal text;Assist project teams with preparation for bid defence meetings ...

major agricultural futures and options exchanges and is investing in the continued expansion of its systematic trading capabilities through the application of statistical modelling, alternative datasets, automation and advanced analytics. For more information visit https://www.marex.com/Role Summary An analytical, commercially minded and proactive quantitative professional … with experience applying statistical and data-driven techniques within financial markets. Joining a front-office trading team that combines discretionary market expertise with systematic research and alternative datasets, the successful candidate will play a key role in expanding the Agricultural Trading desk's quantitative capabilities through the development ...

workflow across asset classes.Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs.Identifying and developing calculation optimization improvementsWorking on documentation.Working with Front Office teams to integrate quant library/technology enhancements into the codebase.Utilizing in-depth … Equities, Commodities, FX derivatives.Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage.Solid mathematical finance and statistical analysis skills.Familiarity with Numerical analysis/Monte-Carlo methods.Knowledge of probability and stochastic calculus.What we’ll provide you27 days annual leave (plus ...

East’s emerging semiconductor cluster. They are now searching for a Manufacturing Engineer to provide manufacturing/industrial engineering expertise, using capacity modelling, data analysis and continuous improvement techniques to optimise WIP flow, cycle time, equipment utilisation, throughput and delivery performance. Key Responsibilities Maintain and improve the fab capacity … business demand Work with Engineering, Operations, Automation and Tool Owners to assess the impact of process and equipment changes Conduct time studies and data analysis to evaluate process and throughput improvements Support the introduction of new processes, methods and production flows Estimate manufacturing costs, establish time standards and recommend ...

exposure to production AI systems from day one. You'll work closely with, and have the opportunity to learn from, team members while contributing analysis and experimentation work that feeds into live services — such as statistical analysis and LLM evaluation. This will require the kind of careful … foundations Solid grounding in statistics and probability — comfortable with hypothesis testing, distributions, and drawing defensible conclusions from data. Hands-on experience with exploratory data analysis, feature engineering, and building and evaluating ML models. Working knowledge of the core ML model lifecycle: data preparation, training, validation, and monitoring. Working style ...

enabled techniques to data matching, validation, enrichment, and automated workflows, ensuring reliable and actionable datasets. Partner closely with Product, Commercial, CRM, Partnerships, and Business Analysis teams to solve complex business problems and deliver data-driven decision making. Your Skills & Experience Strong hands-on experience with Amplitude or a similar … analytics platform. Advanced analytical capability with SQL and at least one scripting language such as Python or R . Strong understanding of experiment design, statistical analysis, holdout testing, and measuring incremental impact . Experience working with dbt to transform, model, and manage data effectively. Proven experience building reporting ...

Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining ...

Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining ...

Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining ...

Global, Inc. (San Francisco, CA) seeks a Senior Data Scientist. Design and implement machine learning models and scalable data pipelines; develop predictive algorithms; conduct statistical analysis; deploy models in distributed/containerized environments. Req'd: Bachelor's degree in Electronics, Computer Science, Data Science, Computer Engineering, or related … data science, machine learning, or related field. Must have experience with Python, SQL, ML frameworks, Hadoop/Spark, Docker/Kubernetes, REST APIs, statistical modeling, data visualization tools, and AWS or Azure. Salary $164,403.00 per year. Send resume to (email removed ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems — whether they should ...