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Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Develop and maintain processes for extracting, cleaning, and organizing data for analysis including implementing a moderate amount of code (Python, R, SQL, some limited JavaScript. Experience with SAS, R, Python or a comparable data analysis tools must have.
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Experience programming using quantitative, procedural, and statistical programming languages such as R, Python, SQL, Spark, and Matlab. Experience programming and reviewing code using statistical and data software tools like R, Python, SQL, Spark, Scala, etc.
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Experience with at least one of the programming languages such as: JavaScript, Java, Python, or other.
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Experience in data access tools, such as SAS, SQL, Python, and R. Accredited Healthcare Fraud Investigator (AHFI), Health Care Anti-Fraud Associate (HCAFA), Certified Insurance Fraud Investigator (CIFI), Certified Financial Crimes Investigator (CFCI), Certified Fraud Examiner (CFE), Certified in Healthcare Compliance (CHC), CPC, CEMA, or CPMA certifications.
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Analyzing and evaluating the effectiveness of data science projects, models, and operations to ensure that analytical performance measures are met and conducting observational analyses using software such as: R, Python, SAS, SPSS, STATA, Tableau, PowerBI or similar.
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Working knowledge of statistical, query based, or data management software (e.g. SQL, SAS, R, Python, Tableau, Oracle OAC). The Data and Strategy Associate (DSA) performs critical tasks related to the development, implementation, and support of institutional strategy and decision-making at Washington State University (WSU.
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Leverage programming languages such as Python or R, and visualization sof tware such as Tableau, Plotly, ArcGIS, PowerBi, Qlik, or Adobe Creative Cloud, to collect, compile, analyze, and visualize complex data sets to evaluate and track climate resilience project implementation.
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Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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Center 3 (19075), United States of America, McLean, VirginiaSr. Director, Software Engineering - SRE. You'll bring solid experience in emerging and traditional technologies such as: AWS, Java, Python, New Relic, Splunk, Datadog, Swift, Kotlin to name a few.
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MCSA, MCSE, Azure Solutions Architect, Microsoft Endpoint Administrator Associate, Microsoft Azure Administrator, or Microsoft 365 Certified Modern Desktop Administrator Associate (MDAA.
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The Defense Group of Leidos has an exciting opportunity for a Senior Systems Administrator to support efforts for the OCONUS Enterprise Network (ONE-Net) portion of the NGEN-R Service Management, Integration, and Transport (SMIT) contract located in Guam.
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Analytics Expertise: Serve as a subject matter expert across our solutions offerings such as database marketing, marketing campaign reporting, investigative descriptive analytics, and propensity modeling while leading and individually contributing to analysis tasks including Excel, R, SQL, Python, and SAS.
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Advanced knowledge in programming languages (Python, R, Stata, or SAS), and ability to implement data analytic pipeline. Using quantitative techniques to understand and discover useful information from biological data and lead development of data visualization efforts using visualization tools such as R, tableau or Spotfire.
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Collaborate with HR partner teams in Associate Relations, Talent Acquisition, Compensation, People Analytics, to develop solutions which attract, retain, and motivate world class talent. 10+ years of experience as a Human Resources Business Partner, Consultant, Strategist or Specialist including experience with Associate or Employee Relations, Change Leadership, Talent Acquisition, Compensation, Talent Management, Organizational Development, Employment Practices, or Employment Law.
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