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Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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One of our clients in Oil & Gas industry is currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around optimizations, data science and big data analytics.
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A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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As part of the Data Analytics team, you will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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5+ years of experience performing data science and analytics, such as: data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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Our team covers the full range of data analytics and data science, including data architecture, data engineering, data visualization, predictive analytics, machine learning, and robotic process automation (RPA.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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The Data Scientist will develop advanced analytics in support of an Intelligence Community client, by providing data science and machine learning solutions to include programmatically accelerating data access, automating methodologies, and developing models that enhance predictive accuracy that counter national security threats.
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Deliver analytic and data science products - from business intelligence to analytics to predictive modeling - within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Strong technical skills necessary to perform advanced analytics: coding (e.g., R, Python, Scala), experience with data management and visualization tools (e.g., SQL, Tableau, Looker, Metabase, open source platforms), and experience performing machine-learned analysis with large datasets.
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Provide consultative advice in emerging areas of Data Science, Data Visualization, Statistical Tools and Analytics (Python, R), in alignment to client goals and strategies.
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