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The main programming language is SAS (e.g., SAS Base, SAS Stat, SAS Macro), R/R Studio, though other languages may be used such as Python depending on the project requirements. Worked in real world evidence- medical claims or electronic medical records (EMR) or registry data (Not needed: ADAM specs, CDISC standards, SDTM datasets)Phone: Email: PAY RANGE AND BENEFITS:Pay Range*: $55/hr.
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Working experience in a quantitative field, Financial/Credit Card industry preferredDeep modeling expertise and experience with analytic techniques and toolsExcellent analytical thinking, practical problem solving abilities, and partnership skillsExpertise in R, Python, H2O, and SASWilling to learn and can-do attitudeEducation:Bachelors/University degree in statistics, mathematics, physics, economics, or other analytical or quantitative discipline.
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Experience with data processing software (e.g., JMP, Python, PowerBI) and Microsoft Office suite (Excel, Word, PowerPoint). Experience with data processing software (e.g., JMP, Python, PowerBI) and Microsoft Office suite (Excel, Word, PowerPoint.
$111,770 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Partner with business leaders to develop innovative ways to deliver dashboards, reports and queries using tools such as Python and Microsoft's BI and reporting technology stack (Fabric, Power BI, Azure Data Factory pipelines, Power Apps, Power Automate, SSAS, SSRS.
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Utilize data query tools (i.e., R, SAS, SQL, MATLAB, Python) and decision tree analytical software to develop, test and execute analyses and reporting. Advanced analytical skills using SAS, SQL, R or Python.
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Location: Liberty Healthcare Management · Management Information Systems. Can work and plan independently at the Task, User Story, and Feature level in Azure DevOps, or comparable development environment.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Basic experience in scripting languages (e.g., Python), Data Querying languages (e.g., SQL) Our groundbreaking spin on service and technology has fueled our mission to be America’s Small Business Bank. Our products help customers buy, build, and expand their business, and our high-yield savings and CD products help them grow their hard-earned money.
$31.25 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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An understanding of generative AI, machine learning, and experience coding in Python will help you succeed. We are building out our Compliance Model Validation team in the US and looking to add an experienced AVP. In this exciting role, you will focus on model development and validation for fraud and compliance models.
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Minimum of 3 years of experience building data-intensive applications using JavaScript/TypeScript and Python. Experience with API development in Python using FastAPI or similar frameworks.
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Experience building authorization/authentication systems that integrate with CAC/PIV cards and Active Directory systems. Experience designing and implementing OLTP and OLAP databases (e.g., PostgreSQL, Elasticsearch, Clickhouse.
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Skills: TSYS, SQL, PLSQL, UNIX / Linux, TWS(Scheduling tool), AWS, API testing, Test automation(Java / Python) Skills: TSYS, SQL, PLSQL, UNIX / Linux, TWS(Scheduling tool), AWS, API testing, Test automation(Java / Python.
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Experience with Python, TypeScript, and AWS Lambda. Familiarity with ETL/integration platforms such as Mulesoft, Informatica, SnapLogic, etc. Acting as a technical evangelist, they support Financial Institutions, Implementation Services vendors, or nCino Technical Architects.
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Experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS. Experience building predictive models (including linear and logistic regression, decision trees, random forest, and gradient boosting) in R, Python, or SAS.
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