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Familiarity with at least 2 of the following modeling software packages: R, Python, SPSS, SAS. Provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs.
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Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
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Data analysis, modeling, network flow prediction using Excel, Pivot tables, VBA, Tableau, SQL (Amazon Redshift), R, Python. - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Experience with statistical programming using packages such as Python, R or SAS. Experience in data mining, artificial intelligence, machine learning, and/or other emerging fields is preferred.
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Expertise with core data science languages (predominantly with Python, and nice to have R & Scala), experience working with Snowflake and other different database systems (such as SQL, NoSQL.
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Model, develop, design, optimize, and maintain production level reporting & analytic solutions using tools such as Power BI, R, & Python to enable data mining & analytic capabilities.
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Additionally, This position requires strong programming (R, SQL, and/or Python) and/or informatics knowledge to support data analysis, database design, and data quality assurance and quality improvement projects.
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Uses SQL/R/PYTHON /Power BI and/or other data tools to solve business problems. Must have 6+ years of experience in data analytics and reporting using SQL, R, Python and other tools.
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Proficiency in standard data analytics toolkits such as Tableau, Qlik, R, Python, Matlab , SQL, dashboards, data mining, and/or statistical modeling for predictive analytics.
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5+ years of experience in data analysis and data mining and visualization tools such as Python, R, SQL, Tableau, or similar. Stay abreast of the latest trends, developments, and best practices in process excellence and mining, and incorporate them into the enterprise strategy and operations.
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The successful candidate will have acquired advanced knowledge of generation and analysis of sequence data; have extensive knowledge of coding languages for data mining and the development of tools, such as R, Python, Java and SQL; experience with large multi-dimensional data sets; some knowledge and experience with genetic statistics analytical methods; and the ability to identify, propose and develop a new form of technology and methodology to bioinformatics research.
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Exceptional with Excel, manual data analysis and other data mining tools (Python, R, SQL) Strong analytic skills and a high degree of proficiency in data mining.
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Proficient with data science and analytics tools (e.g., Python, R, SQL, Tableau). Deep expertise in data mining, statistical analysis, machine learning, and predictive modeling.
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Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL. Major data science languages, such as R and Python. Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
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