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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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Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry. Lead Python Application Developer needs 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
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Experience in advanced analytics tools (Python, R) along with applied mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks.
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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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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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Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R or related technology). The Assistant VP & CDO will be a key player in establishing and sustaining a data governance infrastructure that fosters a culture of trust and shared responsibility for the ethical use of administrative data for institutional strategic purposes.
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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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Strong data science skills using tools like SQL, R, Python, or SAS. Working knowledge of Business Intelligence products (i.e. Looker, Tableau, QLik, etc. Experience with Epic Clarity and Caboodle.
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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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Python/R/SQL/SAS competencies and/or comparable data analysis skills. As a FORTUNE™ 500 company, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to excellence and purposeful innovation.
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Strong background in data analytics and data science, with proficiency in tools such as Python, R, or MATLAB.Experience conducting geospatial predictive analysis and familiarity with GIS software (e.g., ArcGIS, QGIS.
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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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Required experience with programming languages (e.g. R, Python, MATLAB.) and experience in NLP model development is a plus. This position requires some background of process development, modeling and process simulation in a manufacturing and/or R&D environment.
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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. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
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