1 to 25 of 277 Statistical Analysis Jobs

use cases like sanctions screening and AML investigations Month 2: Own end-to-end quality assessment frameworks for major bank and fintech AI deployments Build comprehensive evaluation dashboards and statistical analysis of LLM performance across customer environments Partner with engineering and product teams to establish quality guidelines and improvement recommendations Become the go-to expert for AI quality … and implement rigorous evaluation frameworks for LLM outputs in highly regulated environments Establish metrics and guidelines that ensure AI agent responses meet regulatory compliance and customer quality standards Lead statistical analysis of AI performance trends, failure modes, and improvement opportunities across customer deployments Collaborate with Engineering, Customer, and Product teams as the AI quality expert What we're … learning with focus on quality assessment Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or other quantitative field Strong proficiency in Python and experience with statistical analysis libraries (pandas, numpy, scipy, matplotlib) Experience with LLM evaluation techniques, prompt analysis, and AI system quality assessment Strong statistical knowledge including experimental design, hypothesis testing More ❯

a critical founding role in establishing our new people analytics function. This role combines hands-on technical expertise with strategic vision, requiring someone who can dive deep into data analysis while helping shape the future of our people analytics capabilities. Working alongside our existing senior Workday report writer, this analyst will focus on advanced analytics, insights generation, and executive … level storytelling with data. The ideal candidate will have Workday experience but will primarily use that data for sophisticated analysis and strategic recommendations rather than operational reporting. Key Responsibilities Data Analysis & Insights Perform complex data analysis to identify trends, patterns, and insights related to workforce planning, employee engagement, retention, performance, and diversity & inclusion Conduct statistical analysis … for advanced analytics Identify and resolve data quality issues, implementing processes to maintain data integrity across analytical workflows Perform data cleansing, validation, and standardization to prepare data for sophisticated analysis Work across multiple data sources beyond Workday to create comprehensive people analytics datasets Document analytical methodologies and ensure reproducibility of insights Strategic Function Building Play a foundational role in More ❯

change based on central MD client's needs. Required: TS/SCI with a Polygraph 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 … 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 audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS More ❯

change based on central MD client's needs. Required: TS/SCI with a Polygraph 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 … 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 audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS More ❯

change based on central MD client's needs. Required: TS/SCI with a Polygraph 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 … 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 audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS More ❯

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 … 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 audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS … 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 More ❯

development of analytical models and data pipelines that support regional planning. The role includes managing the full data life cycle, updating the region's travel demand model, running scenario analysis, and leading transportation performance measurement through multimodal indicators and equity-focused metrics. The position also collaborates with teams in environmental planning, community development, housing, and other areas to create … data methods, tools, and visualizations that translate complex analysis into actionable insights for local governments and regional partners. Primary Responsibilities: Regional Data Pipelines & Analysis Ability to design and maintain reusable data pipelines that cover the full data life cycle: Acquisition - pulling from APIs, Census data, GTFS feeds, and other regional sources. Tidying & Integration - cleaning, standardizing, and combining datasets … across domains (transportation, land use, housing, demographics, economy). Analysis & Modeling - applying statistical and geospatial methods to support regional planning needs. Visualization & Reporting - developing clear and accessible maps, dashboards, and analytic summaries. Automation - streamlining workflows for regular updates and reproducibility. Knowledge of Python or R for data analysis, statistical modeling, and automated workflows. Proficiency with GIS More ❯

of research. We are looking for a Data Scientist to work within the National Library of Medicine (NLM). The Data Scientist will have experience in clinical data analytics, statistical analysis, and machine learning. The Data Scientist will have a firm understanding of data management, data standardization, and advanced statistical methods including regression analysis and predictive … employment background and reference check. Required Qualifications Bachelor's degree in data science, statistics, computer science, or related fields Experience processing, cleaning, and validating data integrity Strong understanding of statistical analysis methods including regression analysis and predictive modeling Proficiency with data visualization tools such as Tableau, Splunk, Google Analytics Experience with programming languages such as Python, R More ❯

analytical ability. Your task is to compile information, examine it, and come to conclusions from it such that the business may make better judgments. Your knowledge of data administration, statistical analysis, and data visualization will tremendously improve strategic objectives and operational efficiency. Main Responsibilities: After compiling data from many sources, arrange it into appropriate databases, and then examine … it for trends, insights, and patterns. Create and update dashboards and automatic reports to enable significant players view data instantly. Using exploratory data analysis helps one to improve procedures, reduce expenses, or increase income. Provide analysis- and finding-based recommendations for corporate strategy and decision-making. Help multidisciplinary teams find and communicate data needs depending on business requirements. … and change raw data to ensure it is accurate and whole before analysis. Using the design and presentation of reports, presentations, and visualizations, succinctly communicate complex data findings. Using statistical techniques, look for relationships, generate forecasts, and analyze trends. In working with IT and other departments, apply data collecting techniques and streamline data procedures. By often reviewing and improving More ❯

drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior Data Scientist works closely with Product Managers, Software Engineers and other Data Scientists to ensure scalable, production-ready models that provide … for large-scale datasets. Work on supervised, unsupervised, and reinforcement learning models to enhance decision-making. Leverage telematics, mobility, and insurance data to generate actionable insights and product improvements. Statistical Analysis and Data Modelling Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and business opportunities. Ensure robustness and scalability of data science pipelines, minimizing bias and … Julia, with proficiency in pandas, NumPy, SciPy, scikit-learn, TensorFlow, or PyTorch. Experience with SQL, NoSQL, and big data technologies (Spark, Hadoop, Snowflake, Databricks, etc.). Strong background in statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for More ❯

AD) Systems through foundational data analysis. As a Data Scientist, you will contribute to ensuring the safety and reliability of our autonomous technologies by assisting with data processing, data analysis, and statistical evaluation. What You Will Do: Data Processing : Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments. Statistical Analysis : Apply … advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance. Data Visualization : Create clear visualizations to communicate insights to engineers and stakeholders. Team Collaboration : Work with simulation, engineering, and product teams to integrate evaluation feedback. Requirements Quantitative Degree : Current enrollment in a PhD or Master program in Statistics, Applied Statistics, Biostatistics, Econometrics … Physics, Computer Science, Engineering, or related fields. Statistical Knowledge : Familiarity with advanced statistical concepts (experimental design, hypothesis testing, causal inference, time series analysis, etc). Programming Skills : Proficiency in Python and SQL for data tasks. Communication : Ability to explain technical findings to diverse audiences. Flexibility : Comfort collaborating across global time zones. Bonus Points Excellent skills in metric More ❯

production databases, etc.) to satisfy requirements. Provide insights to inform data strategy, in partnership with line of business representatives. This data scientist will help drive spatial/spatio temporal statistical analysis of AOEA's AOR mission issues and would help develop/implement statistical methodologies for incorporating multiple datasets. The spatial data scientist will develop strategies for … exposing new datasets and create migration plans for legacy datasets. The spatial data scientist will enable the office to perform deeper analysis of trends over time, ensure that collected data can be used across the IC now and in the future, and provide greater access to data holdings. The spatial data scientist will develop and document processes for data … discovery, modeling, and production that adhere to enterprise architecture standards, and will enable data for analysis, visualization, and modeling to address mission specific intelligence issues. Duties of a Statistician Data Scientist may include: Work with various stakeholders to develop data strategies and provide the data necessary to meet AOEA requirements. Collaborate across a diverse team utilizes industry standard technology More ❯

Role: Statistical Data Analyst Bill Rate: $93/hour C2C Location: Austin, TX Duration: 12+ months/long-term Interview Criteria: Telephonic + Skype Direct Client Requirement Necessary position providing expert statistical analysis and modeling to support business decisions. Essential Functions Providing expert statistical analysis and modeling to support business decisions. Ensuring data integrity and … validity through appropriate statistical methodologies. Interpreting complex data sets and presenting findings in an accessible manner. Developing predictive models and conducting hypothesis testing as required. Supporting our projects in improving data collection and analysis processes. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume More ❯

Consultant, you will have the opportunity to: Solve complex client problems using a variety of data analytics technologies and techniques including but not limited to: data processing and engineering, statistical analysis, data visualisation, machine learning, simulation and optimisation techniques Develop solid and insightful analytics products using data engineering and data science techniques across a variety of industries and … business problems Lead the development of analytical work packages directly with Manager, Director or Managing Director support Support the development of complex data analytics tools and analysis' across the whole analytics project life cycle: Scoping, Design, Develop, Test and Deliver Work within a team of data analytics experts and collaborating closely with a range of industry leading specialists across … technical expertise across a number of technologies and techniques, covering at least 3 of the following Data Manipulation and ETL Data visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or More ❯

and data-driven insights to support maintenance forecasting, service planning, and operational optimization. Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources. Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability. Collaborate with transit planners, maintenance teams, and IT staff to translate … years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with SQL for database querying, manipulation, and data extraction. Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger More ❯

analyst will play a key role in aggregating individual cybersecurity assessments to measure the overall posture of business units and the organization. This position requires a strong foundation in statistical analysis, cybersecurity assessment frameworks, and data interpretation to identify trends, measure compliance, and recommend improvements to enhance cybersecurity effectiveness. Key Responsibilities Support the aggregation and analysis of … cybersecurity assessment data to evaluate organizational cybersecurity posture. Monitor cybersecurity assessment data flows and recommend quality improvement initiatives. Develop mappings between existing controls and assessment metrics. Perform statistical analyses on large cybersecurity datasets, including calculating standard deviations, trends, and deviations. Utilize various tools such as spreadsheets, databases, business intelligence platforms, visualization tools, or programming languages for data analysis (LLM or AI-assisted tools such as ChatGPT are not permitted). Identify and map data flows within enterprise networks to support assessment and analysis activities. Conduct event log analyses to determine telemetry, chain of events, impact, threats, and recovery or mitigation steps-leveraging Splunk as a key SIEM tool. Use the MITRE ATT&CK Framework to support More ❯

Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail …/M-F. Job Location: Fort Worth, TX 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or … Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve More ❯

Prime Time Consulting, a GRVTY Company, provides clients with expert intelligence analysis services. Our clients include defense contractors, industrial and service corporations, and departments and agencies of the U.S. Federal Government. We are actively searching for Data Scientists, located in Colorado, to support our team. We have varying levels of Data Scientist roles, depending on years of experience and … ensuring high-quality language processing. 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 More ❯

You will be instrumental in streamlining processes and creating insightful visualizations. Job Description/Requirements: 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. Education and Experience: Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years More ❯

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 … inherent in 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. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing … storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate More ❯

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 … inherent in 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. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing … storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate More ❯

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 … inherent in 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. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing … storage and analytic capabilities and limitations. Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Due to federal contract requirements, United States Citizenship and position appropriate More ❯

operators who are dedicated to using innovative processes, tools, and techniques to get things done. WHAT YOU'LL DO Support missions by applying advanced data science, machine learning, and statistical analysis to large-scale, mission-critical datasets. Design, develop, and maintain modular software solutions that integrate with distributed data processing frameworks in Linux-based environments. Rapidly prototype and … Scope Poly Proficiency in a high-level programming language such as Python, and experience with a mid-level language such as C. Strong foundation in machine learning, data mining, statistical analysis, and data modeling. Experience developing and maintaining modular software for use with large-scale data frameworks. Familiarity with Linux-based environments and shell scripting. Demonstrated ability to … support missions through advanced data analysis and rapid prototyping. US Salary Range $120,000 - $200,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills More ❯

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 … 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 audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS … 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 More ❯

model performance and ensure accuracy. Extract and prepare data for model training and analysis. Collect, clean, and analyze data for program complexity estimation and forecasting. Develop and implement data analysis methods for determining program complexity drivers. Conduct meta-analysis studies to estimate actual work effort based on program complexity. Collaborate with cross-functional teams to ensure project success. … Strong analytical and problem-solving skills to understand complex data sets and derive actionable insights. PREFERRED EXPERIENCE: 3+ years of combined experience in machine learning model development, data analysis, and statistical modeling. Strong understanding of machine learning algorithms, model evaluation metrics, optimization techniques, and statistical analysis techniques. Demonstrated ability to implement, validate, and improve supervised and … machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or related frameworks. Experience in evaluation metrics, model selection, and validation techniques such as cross-validation, bootstrapping, and assessing the statistical significance of model improvements. Excellent knowledge of data analysis, visualization, and preprocessing techniques. Familiarity with tools such as Pandas, NumPy, and Matplotlib. Experience deploying Classical and Modern Time More ❯