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As a Senior Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites.
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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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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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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. The consultant will partner with our customers to understand their data integration pain points with MarkLogic-based data management, search and analytics solutions, and work with colleagues to design and implement solutions.
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The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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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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Strong knowledge of and experience with most of the following: ArcGIS, ArcSDE, ArcView, ArcIMS, ArcTools, the Integrated Exploitation Capability (IEC) system, SocetSet, SocetGXP, TerraExplorer/Builder, Remote View, ERDAS IMAGINE, MRSID, VB/VBA, Python (or some other object oriented programming/scripting language), Oracle and other appropriate software to analyst geospatial data.
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Utilize your in-depth knowledge of Qlik, Databricks, SAP-FM, and Oracle to analyze financial data, identify trends, and create visually compelling reports and dashboards. CDFM, CGFM, or DoD FM Certification, or proficiency in Python coding is a plus.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Experience with python, Microsoft VBA, and Databricks. Experience utilizing big data technologies and knowledge of data science models to. Expertise in architect and utilization of large-scale data processing, computationally.
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Some experience coding in Java, Python, R, or C/C. Implement compliant identity management and data handling processes using a variety of custom and off-the-shelf software. Duties: Work closely with Accrete’s chief information security officer (CISO) and staff to understand key dependencies Research and communicate unique client security needs to Accrete’s CISO to reduce code drift and divergent security practices.
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python r data jobs Title: data scientist Company: Inc in Alexandria, VA
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