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3 Years of specific data analysis tools: Python, R, SAS, PySpark, Tableau Server, PostgreSQL, SQL, Django, ArcGIS, The candidate needs to be an advanced practitioner of SQL, R, Python and be familiar with working with data in an Azure Cloud environment using DataBricks and other cloud analytics tools.
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Demonstrable experience with computer languages (R, Python, SQL, etc.) MS/PhD in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 8-10+ (BS) 6-8+ (MS) or 3-5+ (PhD) years of relevant data science/analytics experience in the pharmaceutical industry.
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Experienced with computer languages (R, Python, SQL, etc.) BS in a quantitative or scientific discipline (e.g. engineering, mathematics, statistics, computer science) with 2-4+ years of relevant data science/analytics experience in the pharmaceutical industry or MS with 0-2+ years relevant experience.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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Key Skills R, python, Hadoop, Bigdata, NLP, hive, SQL Education & Experience Bachelors in Computer Science or Information Technology or foreign degree equivalent Soft Skills Excellent verbal and written communication skills and the ability to interact professionally.
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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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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Fully proficiency with Python, R, SQL, Linux and shell programming, AWS, Azure and GCP with 3+ years' experience.
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Design, build, and deploy data engineering pipelines that extracts, transforms raw data into analytics base tables to support downstream machine learning models using languages such as Python, R and SQL.
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G, Statistics, Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics) or equivalent practical experience. Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages (e.g., SQL.
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The ideal applicant should have a strong programming background (e.g., Python, R, SQL, SAS, and/or STATA) and the drive and enthusiasm to learn about clinical care by assisting in state-of-the-art patient-centered research.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Associates Degree or higher (prefer business analyst, computer science, engineering) - Passion for data, analysis, and problem solving - Experience creating data applications using citizen development tools (Power BI, Power Apps, SQL, SharePoint, etc.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools, such as Python, R, SQL, Tableau, PowerPoint, Excel, and communicate results to client audiences at all levels with presentations and briefings.
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At least 4 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs and/or R&D environment is required. Partner outside of GCSO with the regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usage.
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computer science data python r jobs Title: data analyst product in Niles, Illinois
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