151 to 175 of 300 Statistical Analysis Jobs

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills and experience working with EMEA markets 🔹 Prior experience More ❯

strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team Since 2021 our team has been listed … full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving faster design iteration Characterise and … and written communication skills Experience - Desirable High-frequency device characterization experience (RF and/or noise) Experience in automated digital circuit test engineering Prior experience with cryogenic electronics Advanced statistical analysis expertise Knowledge of SOI processes and fabrication technologies Expertise on CMOS process variation trends Familiarity with machine learning techniques and libraries Quantum physics background Benefits Be part More ❯

Optimize models for speed, accuracy, and efficiency in real-time environments Monitor model performance and implement feedback loops and retraining mechanisms Conduct experiments using A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and … minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

related field Proficient in Python (core skill), with strong experience in SQL Proven track record of applying analytics in digital media, technology, or consumer-focused organisations. Strong knowledge of statistical analysis, machine learning, forecasting, and operations research techniques. **Please note that this role does not offer visa sponsorship** How to Apply: Register your interest by sending your CV More ❯

weight saving strategies and maintain the list of weight risk and opportunities for each discipline area Interrogate CAD models to determine estimates for mass properties with associated uncertainties Utilise statistical analysis to provide a whole boat picture of weight risk and opportunity to senior leaders, stakeholders and our customers Your skills and experiences: Essential Qualified in STEM subject … of a team IT literate in Microsoft packages, experienced knowledge in Excel Ability to understand and interpret engineering data Desirable Experience working with large, Electrical or Mechanical systems Data analysis experience including interpretation, visualisation, manipulation and presentation Experience of using CAD packages and programmes CEng/IEng status or a clear pathway to achieving professional recognition Benefits: You’ll More ❯

hybrid Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas’s Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … as Senior Technical Pricing Analyst: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems. Producing reports, documentation, and presentations to communicate statistical models and results to key … for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. At More ❯

scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon's global fulfillment center network. Key job responsibilities Primary responsibilities: - Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. - - Develop and deliver impactful data-driven analyses, based on … and leaders within RME to deliver structured problem solving. - Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets. - Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around … in robotics and mechatronics. - Lean Six Sigma experience required. Demonstrated success leading Kaizen events - Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization and statistical analysis. PREFERRED QUALIFICATIONS - Experience in Robotics and Mechatronics maintenance. - Technical understanding of: robotics system components/controls, HMI components, control network components, motion control, and standard electrical components - Understanding More ❯

programming. Required Skills: Designing and implementing machine learning, data science, and advanced analytical algorithms. Programming and software engineering skills in at least one high level language (Python, Java, etc ) Statistical Analysis experience (variability, sampling error, inference, hypothesis testing) Data Management (data cleaning and transformation), data mining, data modeling, and assessment Artificial intelligence Effectively communicate complex technical information. Basic More ❯

for collaboration with cross-functional teams Ability to manage time effectively and meet deadlines in a fast-paced environment Experience with data preprocessing and feature engineering techniques Familiarity with statistical analysis and data visualization tools Willingness to learn and adapt to new technologies Key behaviours Strong analytical and problem-solving skills Adaptability to rapidly changing environments Proactive and More ❯

business problems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Build and maintain production-grade Python applications for machine learning and AI. Apply statistical analysis and machine learning techniques to derive insights from large datasets. Develop natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for More ❯

interfaces. WHAT WE LOOK FOR • Senior Developer in large projects across a global team of developers and risk managers • Performance tune applications to improve memory and CPU utilization. • Perform statistical analyses to identify trends and exceptions related Market Risk metrics. • Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL More ❯

using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client … s best practices, standards, and methodologies underlying the use of real-world data (RWD). Essential Functions Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions Mastery in both classical and modern test theories and PRO/COA validation to program analytics … Support integration of PRO clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization More ❯

Must Have Some Experience With : Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. Ability to … science, and applications-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. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations. Knowledge of … and collaboration skills Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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 More ❯

Data Scientist, you will perform the following functions: • Design and implement 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 … and/or software engineering. • Utilize analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. • Develop and communicate principal … science, and applications-specific knowledge. • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in drawing appropriate conclusions from the analysis of such data. • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, analytic capabilities, and limitations. • Knowledge of agency More ❯

and build out the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and … Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of More ❯

and build out the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and … Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of 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 ❯

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 ❯

will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing. YOUR SKILLS AND EXPERIENCE Python SQL Experience using statistical analysis Modelling experience APPLY Register your interest by sending an email to Riversteytler@harnham.com or applying below. Please note our client cannot offer sponsorship More ❯

requirement, or upper-level math courses designated as elementary or basic do not count. Must have some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis More ❯

features and limitations of data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements, and assist others in drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences and make informed recommendations on competing technical solutions Requirements Bachelor's Degree in Mathematics, Applied Mathematics, Statistics … with a computational focus or a Certificate in Data Science from an accredited institution 10 years of relevant experience in designing and implementing machine learning, data science, advanced analytics, statistical analysis (e.g., hypothesis testing, linear models), and programming (e.g., Python) Experience in data management (e.g., data cleaning, transformation), data mining, data modeling, artificial intelligence, and/or software More ❯

NSA/CSS data holdings 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 Effectively communicate complex technical information to non-technical audience Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS … in-depth experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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 More ❯

NSA/CSS data holdings 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 Effectively communicate complex technical information to non-technical audience Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS … in-depth experience Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on 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 More ❯