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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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Utilize language such as SQL, Python, and R for data analysis, manipulation, and visualization. Strong proficiency in SQL, Python, R, and other relevant programming languages.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. 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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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Significant experience as a Data Scientist or advanced analytical role.
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Lead projects and tasks in small, agile-like environment designing, developing, maintaining, operating, supporting Python data analytic tools in direct response to client needs. The Senior Data Scientist will work on-site.
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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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Je hebt kennis van de volgende technieken: Python, R, SQL, Azure Data lake, Databricks of andere relevante technieken. Gevraagd Je hebt kennis van de volgende technieken: Python, R, SQL, Azure Data lake, Databricks of andere relevante technieken.
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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. Strong proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.
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Serve as a subject matter expert and implementation lead for application of open-source R and python Client modeling libraries to clinical trial data and real world data (from external partners, publicly available data or consortia data.
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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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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)Primary Location.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Visualizing data using a diverse tool set including but not limited to Python and R. Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL.
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