151 to 175 of 404 Permanent Statistical Analysis Jobs

candidate will bring a strong foundation in data science, coupled with specialized expertise in bioinformatics. We are seeking an individual with advanced programming skills, a deep understanding of data analysis principles, and hands-on experience with NGS data analysis. This position requires active collaboration within interdisciplinary teams on a range of projects, including prototyping software for novel assays/… evaluating and monitoring the performance of both software and assay offerings. Collaborate closely with R&D and Data Science team to design and prototype bioinformatics workflows for NGS data analysis, contributing to the development of new assay offerings. Partner with Data Science and Product Development functions to design and prototype novel in-silico tools to lower off-target risk … in gene editing strategies. Support bioinformatics engineering team members in translating prototyped pipelines into scalable, production software. Execute data analysis/bioinformatics pipelines while ensuring compliance with relevant regulatory standards (e.g, GLP standards) to support client projects. Conduct data analysis to gain deeper understanding of current methods, enabling improved characterization of methods. Perform data wrangling, statistical analysis More ❯

in the global ecosystem, and partnering with the product team to launch features at registration to help sellers be successful. The ideal analyst should have proven experience in business analysis and product development; should be able to work across teams and should be able to lead leadership reviews. Our ideal candidate is a self-starter, comfortable working through ambiguity … analyses to uncover areas of opportunity and present recommendations that will shape the future of the registration and identity verification Proactively identify problems and opportunities and perform root cause analysis/diagnosis leading to significant business impact. Develop performance dashboards that encompass key metrics to be reviewed with senior leadership. Manage numerous requests concurrently and strategically, prioritizing when necessary. … field experience - 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience - 3+ years of business or financial analysis experience - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - Experience with Excel PREFERRED QUALIFICATIONS - Statistical Analysis More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

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. An additional four (4) years of experience in software development More ❯

to work hybrid remote/on-site on a government contract for a client located in Washington, DC. An active TS/SCI clearance is required. Responsibilities Establish advanced analysis and data visualization methodologies, models, and tools to derive intelligence outcomes and impacts. Design and deliver infographics across a range of media platforms. Identify and process raw data, trends … analysis, and assessments in order to aggregate disparate information, leveraging both analytic and visualization tools. Leverage knowledge of databases and methodologies to determine appropriate sources, determine indicators and relationships, and generate intelligence support packages. Provide tailored communications to innovation stakeholders in meetings, demos, and other customer engagements, as well as support analytic innovation, development, and data analytics activities to … customers and stakeholders. Brief customers on assessments and prepare briefings based on finished analysis, including preparing daily briefings for senior policy and operational decision makers. Develop machine learning models with attention to model accuracy. Draft technical methodologies and participate in architectural reviews. Document processes and solutions that serve as communication findings for both technical and non-technical stakeholders. Required More ❯

gains from proposed improvements Analyse our routes to identify inefficiencies in routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring … thoughtfully What we're looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with More ❯

analysis. - Excellent written and oral communication skills including an ability to communicate with cross functional teams (technical and business) and senior stakeholders. - Strong proficiency in SQL, Microsoft Excel and statistical analysis tools. PREFERRED QUALIFICATIONS - MBA or advanced degree. - Strong organizational and multitasking skills with ability to balance competing priorities. - Core Program and Project Management skills (regular updates, Program … flashes, data audits, review meetings, process audits). - Demonstrated experience in leading analysis, customer segmentation, and/or product behavior analysis. - Pricing Experience - An inherent learn and be curious nature, willing to jump into unexplored topics. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions More ❯

concepts to non-technical stakeholders and delivering actionable insights. Essential Job Duties Utilize expert-level proficiency in Python for data science including NLP, entity extraction, data manipulation, generative AI, statistical analysis, and model implementation. Leverage data engineering experience to assist in data preparation (as needed). Apply excellent problem-solving skills to address technical challenges, both independently and More ❯

etc. Provide business analytics for NGA contracting activities using internal NGA data. Develop products and/or visuals to communicate the results to senior management. Collect, process and perform statistical analyses on large datasets. Provide suggestions on how data can be used to answer questions and streamline processes. Requirements Experience working with structured and unstructured data to provide insights …/or convey meaning. Experience designing and developing data visualizations of the data to convey results for senior decisions with minimal explanation. Experience in strategic level corporate/governmental analysis and demonstrated analytic techniques to solve operation-based problems. Experience with Data Visualization tools (Tableau, Plotly etc.) Experience using and manipulating APIs Experience with programming languages such as SQL More ❯

Qualifications : • 2+ years of experience working with Palantir Foundry • 2+ years of experience working with Advana Required Skills/Qualifications : • 6+ years of experience with data analytics, data engineering, statistical analysis, or artificial intelligence and machine learning • 6+ years of experience with major data science languages, including Python and R • 6+ years of experience retrieving, merging, and analyzing More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

Job Description: Performs technical analysis for malicious, in order to ascertain functionality and capability, assist with attribution and identification of indicators of compromise. Provide information and documentation that enables malware detection, signature creation, and mitigation. RCES funded requiement supporting East Asia Cyber. Focused on workflow improvement and automation, data aggregation, and custom data analytics. The Level 3 Data Scientist … shall possess the following capabilities: Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions … from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through 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 features and limitations inherent in More ❯

for data-driven decision-making. The Level 3 Data Scientist shall possess the following capabilities: Employ some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate … principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. 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 … in National Agency 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 audiences. Support to cyber tradecraft. Utilize data science skillset to perform anomaly detection. Requires experience with python, customer More ❯

Location: Washington, DC Overtime Exempt: Yes Reports To: ARMADA HQ Security Clearance Required: Active Top Secret CONTINGENT UPON AWARD Duties & Responsibilities: The Statistician/Data Scientist IV shall provide statistical and mathematical support to analyze and interpret a wide range of data to help SISPV leadership understand the value of anomalies and support strategic decisions. The Statistician/Data … Scientist IV shall interpret and analyze leadership information needs, and design and implement data analysis projects to address those needs by incorporating best practices, appropriate data, and proven techniques from experience or research methods. The Statistician/Data Scientist IV shall leverage wide-ranging data sources (e.g., web traffic, customer requests for information, survey data, stated and implied requirements … production databases, human capital data, etc.) to develop and communicate understanding of phenomena and trends. Provide insights through repeatable, transparent analysis that will be used to inform SISPV strategy and decisions. Assist in the construction of data sets and data views to utilize and communicate complex data sets meaningfully and appropriately. Assist with implementation of statistical analysis 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 ❯

EAFR) to produce sophisticated analytic models, Triage capabilities, and dashboard metrics for CE/CV Investigators. Discover patterns in past data to predict the outcome of future events including statistical modeling, classification and analysis, clustering, optimization and simulation, and customer segmentation. Text Mining-Provide information stored in text documents and databases including document classification, natural language processing, information … disparate data sources and building Extract, Transform, Load (ETL) and data pipelines optimized for advanced analytics. Data Visualization-Create advanced algorithms easily accessible through 2-D and 3-D, statistical and spatial visualization. Develop a dashboard capability for CE/CV Investigators that will allow triggers (resulting from the above) to be efficiently prioritized and worked. Applying the Risk … duties as assigned. Knowledge, Skills, and Abilities (KSAs): Required: Familiar with data mining, ability to develop and manipulate, and maintain databases. Demonstrated experience using software packages used for advanced statistical analysis of operational data and tools for data visualization. Clear and concise writing skills. Positive, engaging communication skills. Excellent organizational skills to achieve required timelines. Demonstrated experience using More ❯

Job Duties Employ some combination (2 or more) of the following skill areas: Foundations: (Mathematical, Computational, Statistical) Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets Make and communicate principled conclusions from data using … elements of mathematics, statistics, computer science, and application-specific knowledge Through analytic modeling, statistical analysis, programming, and/or other 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 features and limitations inherent in customer data holdings … Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other with drawing appropriate conclusions from the analysis of such data Effectively communicate complex technical information to non-technical audiences Make informed recommendations regarding competing technical solutions by maintaining awareness of constantly shifting collection, processing, storage and analytic capabilities and limitations Required More ❯

Description Background Information : Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering … critical results. Overview: The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and … problems Establish and leverage Big Data frameworks to store, extract and analyze relevant data Develop software solutions by understanding customer requirements and program intent Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions Be responsible for solutions that meet software design, quality, and performance requirements Work with minimal supervision in a collaborative work environment More ❯

science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and … reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through 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 More ❯

sits within the Consultancy side of their business who work in partnership with the defence sector, national government bodies, international institutions and global prime contractors on enterprise transformation, feasibility analysis, systems engineering, programme delivery and support. As an Analytical Consultant, you will be providing the evidence to help the MOD/Government to make better decisions. This may be … support procurement decisions or supporting workshops with customers and stakeholders to improve polices and planning. Our client’s recent successes within UK MOD mean that the company’s Operational Analysis team are looking for consultants who can help them grow and deliver the business. They are interested in people who engage customers technically and personally, with the ability to … provide analytical insight. Responsibilities for the Senior Operational Analyst Consultant will include: Delivering technical consulting projects. · Experience on qualitative and quantitative analysis Identifying and winning work within the MOD/Defence sector. Developing and using a variety of analytical tools and techniques Writing reports and presenting to customers Building new relationships and maintaining the relationships they have with their More ❯

Description 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, and/ More ❯

great work culture and environment Working with stakeholders across various teams Delivering insights on customers including demographic, LTV and engagement Regularly conducting a/b tests and other experiments Analysis incl. statistical analysis with tools such as Python/R desirable Development of some reports/dashboards in Tableau YOUR SKILLS AND EXPERIENCE The successful Senior Analyst More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … the business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯