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Sr. Renewables SCADA Engineer - Leadselectrical control systems modeling or programming using tools like Python, MATLAB/Simulink, C, C. Advanced expertise in electrical control systems modeling or programming using tools likePython, MATLAB/Simulink, C, C.
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Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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We are seeking a Senior Data Engineer skilled in Databricks, Python, Scala, Azure Synapse and Azure Data Factory to join our team of engineers. Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data.
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Familiarity with R or Python for predictive modeling. Strong knowledge of R or Python for data analysis and modeling. Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
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Experience with data visualization tools such as Tableau, Power BI, or similar - Proficiency in programming languages such as Python, R, or SQL. Utilize statistical techniques and predictive modeling to identify trends, patterns, and opportunities for process improvement and optimization.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Strong programming experience with R and/or Python for statistical modeling and other machine learning applications. Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL.
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Proficiency in data analysis tools and programming languages such as SQL, Python, R, or Excel for data manipulation and visualization. Knowledge of statistical methods and techniques for data analysis, hypothesis testing, and predictive modeling.
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Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio to create interactive dashboards and reports. Analyzing data using statistical methods, data mining techniques, and visualization tools to identify patterns, trends, and correlations.
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Experience in the strategic Data Cloud Snowflake ecosystem including: comprehensive data analysis, data product and metadata requirements, change data capture (CDC), B2B data integration, data modeling, performance monitoring, data visualization, and continuous improvement.
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The Data Scientist for our Palo Verde Nuclear Plant is responsible for providing new insights from predictive statistical modeling activities, advanced data analyses, and specialized analytical support for business operations.
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Enhancing data handling, data hygiene, data cleaning and data modeling methods to connect structured and unstructured data using Python, R, Power Platform, SharePoint and Excel to uncover market performance improvement opportunities.
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6) Perform data acquisition using JSon, SQL, ODBC, JScript, or API for big data extracts and use programming languages like R, Python, SQL,.net, Java or C. Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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