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Demonstrated expertise in programming languages (postgis, SQL, Python, R, Arcade, JavaScript) for geospatial analysis and automation. Describe your expertise in programming languages (postgis, SQL, Python R, Arcade, JavaScript) for geospatial analysis and automation.
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Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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The candidate is responsible for programming in numerous data processing steps (cleaning, extracting, merging, etc) in SAS/SQL/R/Python programing environments. Minimum 5+ years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry.
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Data science, machine learning, optimization models, PhD 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.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio. Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio.
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Knowledge of bioinformatics or computational biology (e.g., R, python) is a plus. We are looking for a highly motivated individual to join a collaborative academic and industrial team in the R&D department as a Postdoctoral Scientist.
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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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Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority. Integration: Databricks, Talend, SSIS, Pentaho, Informatica or similar. Science & programming: Python, R, SQL, SAS, Java or similar ß Lower Priority.
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Experience in Stata, Python, R, SQL, SAS, Excel, ArcGIS/ArcPy; Guide programming, model building and/or regression analysis in statistical analysis programs (such as Stata, SAS, R or Python.
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You have strong skills in Python, R, SQL, and Hive queries. You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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Proficiency with Excel / VBA and R / Python. Full-time relevant work experience in credit analysis of debt / capital markets, credit analysis / research, quantitative finance, model development or validation.
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Experienced in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. JumpCloud has raised over $400M from world-class investors including Sapphire Ventures, General Atlantic, Sands Capital, Atlassian, and CrowdStrike.
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