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Experience with data wrangling, data matching, and ETL techniques while programming in several languages (Python, R, SQL, and Spark) to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala. Programming Languages: Python, R, SQL, Java or Scala. Significant experience and/or deep expertise with several of the following: Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transforming data using SQL, NoSQL, and Python.
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10+ years in pharmaceutical or biotechnology Sales & Marketing Analytics, with hands-on experience in programming (Python, R, SQL) and using tools like AWS SageMaker. Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL). Experience in programming at an intermediate skill level with a high-level programming language such as R or Python.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA). Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data.
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Relevant analytical/programming experiences in the life science industry, including: Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA.
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You're experienced with languages used to manipulate data and draw insights from large data sets (e.g. Python, R, SQL, etc.) Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of: Computer programming languages (C#, HTML, Java, PHP, Python, R, SQL). Experience: Minimum of five years (5) experience with programming, programming languages (C#, HTML, Java, PHP, Python, R, SQL.
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Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries. Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred.
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Familiarity with SQL, R, Python. Data Visualization – DOMO, Tableau Web Analytics - Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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Strong development experience with any of the following software languages: Python, R, SQL, or Scala. Proficiency with data platforms such as: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift (we use Databricks.
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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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r sql jobs Title: consultant Company: Kmk Consulting Inc in Holdrege, Nebraska
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