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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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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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Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Experience with study design and equipment, research techniques (Discrete Choice, BASES, Conjoint, and/or Max Diff/Kano), and data analysis tools (Tableau, Shiny, R, Python, MATLAB, JMP, IBM SPSS preferred.
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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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Prepare and manipulate large datasets using statistical software and programming languages such as R, Python, or SAS. Conduct data validations and ensure data integrity that support risk capital and reserving analyses.
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Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, Client and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and Client techniques.
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Proficient coding skills (SQL/Python/R) and database knowledge. Perform hands-on modeling and complex analyses using Python and SQL. Excellent technical chops and advanced programming skills with experience of creating Python modules.
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Exceptional programming ability in SAS, SQL, R, Python or other programming languages. Exceptional programming ability in SAS, SQL, R, Python or other programming languages. Advanced skills and training in predictive modeling, data mining and other quantitative and research analytics (Non-Linear Regression Analysis, Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Decision Trees, Non Parametric estimations, etc.
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Knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
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Senior Python Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry. Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry.
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About the job Senior Python Developer. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
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Background in cellular and molecular biology, histology, confocal microscopy, MatLab, R-based statistical analyses and basic scripting languages (such as Python and Perl) is a plus. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark's University Hospital in Newark, and other affiliates.
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Experience with analytics, modeling platforms, data manipulation software and visualization tools (e.g. R, Python, JavaScript, Dash/Shiny, Tableau, Microsoft Suite) Familiarity with BMS applications (including SAP, LIMS, OSI Pi) a significant plus.
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Experience with programming in MATLAB, Excel VBA, Python, R, and/or Java. Albireo Energy is looking to hire an entry level EPMS, BMS, controls or PLC engineer to join our team in the exciting, essential and expanding field of building and maintaining power monitoring systems for data centers and other critical power applications.
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