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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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Experience using data and analytic tools such as: PowerBI, Databricks, SQL, Python, R, or Tableau. Currently nearing the completion of bachelor's degree or pursuing a master's degree in Information Technology, Computer Science, Data Analytics, Statistics, or a related degree.
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At least 6 months of experience with either Python, R or SQL. As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives.
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Proficiency with Stata, R, Python and other programming languages. Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Experience with analytics tools, such as Tableau, Qlik, Power BI, or MicroStrategy, and with programming, such as Python, Scala, R, SQL, PL/SQL, Shell Scripting, or PowerShell.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Strong programming experience in Java and Python/R. Familiarity with SAS and with tools available in the AWS/Cloud environment. Develop, implement and test components using Java/Python/R of financial models, algorithms, cash flow simulations and pricing/risk metrics calculations in end-user or production computing systems for use in business decisions, financial and regulatory reporting and risk management.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Experience with Java, Python, JavaScript, SQL, ServiceNow, SalesForce, Pega, Appian, PowerApps, or OpenText. Experience with Glide scripting, business rules, client scripts, and data imports.
$154,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience using SAS, R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
$234,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy. Extensive knowledge of healthcare data/payment concepts (e.g., claims data structure/contents, claim types, payment concepts) and analyzing claims and enrollment data.
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Experience with JMeterand, Jenkins, Docker, Postman, Swagger, Nexus, Apigee or GitHub/GitLab (or equivalent software packages), Java, Bash, Curl, XML, JSON, SQL, Python, Javascript, and AWS and C2S. Working knowledge of Model-Based Systems Engineering, processes, tools and languages.
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3+ years of professional experience building data pipelines using ETL tools, data engineering packages, and frameworks such as Informatica, Python, R, SAS, Alteryx. Apply technical expertise to build, test, and automate Extract-Transform & Load (ETL) tools to create and maintain data pipelines using multiple technology stacks.
$126,000 a yearExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Exceptionally strong analytical abilities, with track record of identifying insights from quantitative and qualitative data- Required.
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technology python sql r jobs Title: data scientist Company: Kunai in Vienna, VA
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