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Data Science Analyst r

Global Channel Management, Inc. · Удалённо · United States

# Data Science Analyst r **Global Channel Management, Inc.** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Science-Analyst]` `[Data-Analyst]` `[Data-Scientist]` `[Business-Analyst]` `[Analytics-Analyst]` `[Data-Scientist-Analytics]` `[Data-Science]` --- ### About the Role Data Science Analyst needs 5+ years data analysis, banking experience Data Science Analyst requires: - Practical experience with ETL, data processing, database programming and data analytics - Extensive background in data mining and statistical analysis - Able to understand various data structures and common methods in data transformation - Excellent pattern recognition and predictive modeling skills - Experience with programming languages such as Java/Python or R an asset - Digital banking Data Science Analyst duties: - Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. - Develop and execute upon data A/B testing framework and test model quality. - Coordinate with different functional teams to implement models and monitor outcomes. - Create and use advanced machine learning algorithms and statistics: regression, distributions, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. - Work to analyze data from a wide variety of 3rd party data providers: Google Analytics, Adwords, Adobe, etc. - Use distributed data/computing tools to achieve business results: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. - Work with cloud and distributed computing architectures, and data providers, e.g S3, Spark, DigitalOcean, Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL Originally posted on Himalayas

Наблюдалась 2026-10-15, впервые 2026-10-15, источник — Himalayas (JSON API).

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