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GALE is the world’s first and only Business Agency. We bring business strategy to brand storytelling to drive enterprise value. With expertise in strategy, media, CRM, creative, performance marketing, and technology, GALE creates integrated marketing systems and campaigns that grow businesses in significant ways. Founded in 2014, the agency has since been named AdAge’s Business Transformation Agency of the Year and Adweek’s U.S. Media Agency of the Year and has been recognized for its innovative creative at the Cannes Lions.
We work with brands such as Delta, Uber, Starbucks, Chili’s, Hard Rock, MilkPEP, Diageo, Cotton, IHG and more. If you’re driven by a passion to build something great, a desire to innovate, and a commitment to achieve excellence in your craft, GALE is a great place for you!
GALE has eight offices around the world, including New York, Toronto, Los Angeles, Austin, Denver, Kansas City, London, and Bengaluru. GALE embraces a hybrid, flexible workplace
Who you are:
You are passionate about data science and love to solve challenging modeling work using a data driven approach.
You are fluent in any SQL databases - Hive, PostgreSQL, Oracle, SQL Server, MySQL.
You are fluent with scripting languages (Python, Bash, etc.) and may have experience with Scala and/or Apache Spark
You demonstrate sound knowledge of statistical techniques and machine learning methods as well as extensive professional experience with statistical programming languages/packages (R, SAS, Scipy/Numpy/Scikit-learn).
You have 1+ years of experience with supervised machine learning algorithms and their application to large data sets.
You have 1+ years of experience in data pipelining, preprocessing, modeling, and analyzing big datasets.
You are familiar with Unix/Linux systems and command-line interfaces and editors.
You are familiar with the AWS ecosystem.You may have some experience with interactive visualization of data in Shiny, D3 or Dash and may have applied or conceptual experience with ANN frameworks like Tensorflow, Keras, Torch, Mxnet,
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