1 to 25 of 176 Statistical Analysis Jobs

Capital Region. If interested and qualified, we welcome you to apply for this challenging opportunity. Responsibilities Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling … certain processes. Duties typically include: creating various Machine Learning (ML)-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high-quality prediction systems. Should be skilled in data visualization and use of graphical applications, including ...

library of dashboard templates. Additional projects will include supporting our team of project specialist in developing deliverables to our clients, based research and analysis methods, using statistical models on business data collected in field. Candidates should also be comfortable preparing routine as well as ad-hoc business reports … senior management and clients. Essential duties and responsibilities : Develop visualizations using tools such as Tableau, PowerBI and/or Sisense Use sophisticated data analysis methods to support project team in creating deliverable for client Work with clients to devise methods to optimize data capturing schemes and overall program evaluation ...

Description GENERAL DESCRIPTION: We are seeking a proficient Senior Data Scientist within Precigen's Bioinformatics team who will be responsible for sequence data analysis, statistical analysis, and data mining. This individual will maintain and develop analysis pipelines, run data analyses, visualize results and communicate them … scientists and principal investigators. Extensive experience with DNA and RNA sequencing analysis and strong knowledge of statistical methods, coupled with a solid understanding of foundational biological principles, will be required. You will join a transnational team working at the intersection of biology, data science, and software development. DUTIES ...

Required Clearance: TS/SCI w/ability to obtain and maintain a CI polygraph Responsibilities: Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis to assist with intelligence analysis Use scientific techniques to correlate data into graphical, written, visual … build AI tools that automate certain processes Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems Perform statistical analysis, apply data mining techniques, and build high quality prediction systems Requirements: Bachelor's degree preferred, with 8+ years of directly related experience ...

Description Job Description Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. … customer. Responsibilities Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization and use of graphical applications ...

Data Scientist Subject Matter Expert (SME) to lead a team of data scientists and engineers conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more … above, duties for this position typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate should be skilled in data visualization ...

offer a world-class, truly unique employee experience that is rare within our industry. A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance … unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Due to federal contract requirements, United States Citizenship and position ...

conducting test events, as well as collecting and analyzing performance data to support system validation and decision-making. You will apply test methodologies, statistical analysis, and modeling and simulation techniques to evaluate system performance. In this role, you will work more independently and contribute to test planning, execution … evaluation (T&E) activities Develop and execute test plans, procedures, and evaluation strategies Collect, analyze, and interpret performance data to support system assessments Apply statistical analysis methods to evaluate system performance and confidence levels Support Modeling and Simulation activities for test and evaluation purposes Analyze performance risks ...

develop scalable, high impact analytical solutions. This role will support data-driven decision-making across federal health environments by developing predictive models, conducting advanced statistical analysis, and building reproducible analytical workflows. This role will collaborate with data engineers, analysts, clinicians, and program stakeholders to transform complex healthcare data … into actionable insights that improve operations, outcomes, and mission performance. Essential Duties and Responsibilities Apply advanced statistical methods (e.g., regression, time-series analysis, survival analysis, mixed models) to federal health datasets. Conduct exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights. Develop, validate ...

participates in complex medical economic projects (e.g., medical cost savings, trend, and risk assessment initiatives) including identification and completion of key deliverables. • Apply statistical analysis methods to develop, validate, and execute algorithms, statistical models, and reporting tools that answer applied research and business questions for internal … 2+ years of experience analyzing healthcare claims and eligibility data, including: Medical cost, trend, and variance analysis. Identification of cost management opportunities. Medical economics analysis and reporting. Statistical analysis and data modeling • Contract & Product Knowledge: 2+ years of experience analyzing capitated and fee-for-service provider contracts ...

team. Strong communication skills. Key Skills: Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such ...

operations research, engineering or computer science) Five (5) years of experience analyzing datasets and developing analytics Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing … four (4) years of experience. Required Skills: Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis ...

architecture) hosted on AWS/Azure/Google service platforms. attribution. The Level 4 Data Scientist shall possess the following capabilities: 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 … 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 ...

artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization , along with the ability to translate complex findings into actionable insights for both technical … predictive and prescriptive analytics solutions to support operational and strategic decision-making Evaluate model performance and continuously improve algorithms through testing and tuning Data Analysis & Exploration Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies Perform data cleansing, feature engineering, and transformation to prepare data ...

Data Analyst with 3+ years of experience across retail, pharmaceutical, and financial domains. The role focuses on delivering actionable business insights through data analysis, visualization, and predictive modeling, while supporting strategic decision-making and business optimization. Key Responsibilities Analyze data to deliver actionable business insights Develop dashboards and automated … reporting solutions using Tableau and Power BI Build predictive models using Python and statistical techniques Perform advanced statistical analysis and machine learning Collaborate with cross-functional teams to optimize processes and campaign outcomes Design and manage ETL processes Communicate insights effectively to stakeholders Required Qualifications 3+ years ...

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 … data formats (e.g., SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create ...

active role on our data analytics team. You will work on vast amounts of DEA data to discover hidden information by applying modern statistical and ML/AI techniques. The main scripting languages used on this program are Python and some 'R'. The databases are MS SQL Server … that will ultimately affect velocity and overall quality of the products, is highly desired. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with DEA programs and DEA data (e.g. structured, unstructured, and mixed datasets). You will ...

Data Scientist, Skill Level 4 Overall Assignment Description: Data Scientist - Continuous Vetting Program Duties include: • (U) Execute all duties in Position 29 • (U) 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 • (U) 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 • (U) Leverage wide-ranging data sources (e.g., web traffic, customer requests for information, survey data, stated ...

techniques to solve the Sponsor's most challenging data problems. Required Skills 3+ years of experience in data science or analytics Experience with the analysis of data and creation of data-driven visualizations Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms … Ability to develop persistent monitoring applications for statistical or machine learning processes using Python and SQL Ability to create reports and present findings based on statistical analysis TS/SCI clearance with a polygraph Bachelor's degree in Computer Science Desired Skills Experience programming ...

LLMs and computer vision algorithms for processing and analyzing biomedical text and image data. Design and develop software tools and pipelines for automated image analysis, data integration, and visualization, leveraging machine learning and deep learning techniques. Collaborate with biologists and other researchers to understand their needs and translate them … into technical solutions, incorporating state-of-the-art AI methodologies. Perform data mining, statistical analysis, and machine learning on large-scale biomedical imaging datasets to extract meaningful insights and improve predictive accuracy. Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness, and scalability. ...

descriptive and complex studies in RWD. 6. Work with epidemiologists and HEOR scientists to generate study measures in RWD. 7. Assist in developing Statistical Analysis Plans (SAP) for descriptive and complex studies using RWD, including claims and EHR. Minimum Requirements: 1. 7+ years of strong statistical programming … analytical experience with Master's Degree in public health, epidemiology, health economics or related discipline; or 2. 5+ years of strong statistical programming (such as SAS) and analytical experience with PharmD or PhD 3. Knowledge of real-world data and experience in observational research study design, execution, and communication ...

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 … more than one area is strongly preferred Active TS/SCI w/poly What Would Be Nice to Have: Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility) Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations ...

model training in addition to the customer's enterprise data processing pipeline. You will be working to integrate AI into malware detection and malware analysis capabilities. The Level 3 Data Scientist shall possess the following capabilities: Foundations: (Mathematical, Computational, Statistical). Data Processing: (Data management and curation, data … 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 ...

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 …/poly What Would Be Nice to Have: 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 ...

Description Job Description 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 … 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 ...