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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. This role will be a member of the Technical Operations Risk & Governance team - a diverse group of data analyst, privacy analyst, and program managers that will assist in enabling and supporting our business line groups within Digital.
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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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Draw on knowledge of programming in MATLAB, Python, R, C. Applies technical knowledge to help promote a safe work environment and to enhance customer satisfactionQualifications MINIMUM QUALIFICATIONSMinimum: Graduate degree (MS or above) or Graduate level work in quantitative discipline (e.g., electrical engineering, industrial engineering, statistics, operations research, economics, computer science, data analytics, mathematics, physics, etc.
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Expertise in at least one statistical programming language, such as R, Python, Stata, SAS, or similar. Expertise with R and/or Python statistical programming language. The Data Scientist position is assigned to the Metropolitan Police Department (MPD), Joint Strategic & Tactical Analysis Command Center (JSTACC), inside the Research and Evaluation Branch (REB.
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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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Documented experience with Python, R, and/or MATLAB. Documented experience developing detailed/interactive visualizations and exploratory data analysis. Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
$135,600 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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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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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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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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. By leveraging enterprise tools, technologies and code, we are able to build data pipelines, Business Intelligence tools, automation frameworks, web tools, to create a comprehensive data ecosystem that supports Credit Risk Management via analytics, modeling and reporting.
$126,000 a yearExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience in executing data science methodologies using common programming languages, such as Python, R, SAS, VBA, or Scala; Our Forensics practice provide independent forensic expertise and data analytics capabilities in complex litigation, cyber security incident response, internal and compliance investigations, and white-collar defense matters.
$91,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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. Experience with data platforms, such as Databricks, Cloudera Hadoop, Hortonworks, or AWS EMR.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in using Python or R for data science: data wrangling, statistical analysis, machine learning models. Develop data processing and validation scripts to prepare data for downstream reporting, validate data quality, and reconcile identified issues.
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This role is pivotal in advancing our privacy practices at USDS, through aligning USDS privacy requirements with the global privacy compliance framework (PCF), working closely with global legal, R&D, Privacy and Data Protection Offices (PDPO) as well as USDS privacy operation teams.
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python r data processing jobs Title: data scientist sr Company: Inc in Arlington, VA
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