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preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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Digital line to develop enterprise level solutions that address data analysis, storage, and curation, including the ability to mine data for insights that support decision making. Interact and coordinate
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degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred
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, and curation, including the ability to mine data for insights that support decision making. Execute qualifications/validations of new instruments and custom methods. Organize assigned work according to
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. • Relevant professional experience with Big Data systems, pipelines and data processing • Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics
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that address data analysis, storage, and curation, including the ability to mine data for insights that support decision making. Execute qualifications/validations of new instruments and custom methods. Organize
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least 3 years of experience OR Masters with more than 1 year of experience. Capabilities in data models, database design development, data mining and segmentation techniques Strong knowledge of and
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analytics solutions using Python, Scala, Java, or R as well as modern analytical systems in Spark + Hadoop/Databricks/Snowflake. Education Advanced degree in Applied Econometrics, Statistics, Data Mining