GALE is the worlds 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 AdAges Business Transformation Agency of the Year and Adweeks 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 Chilis Hard Rock MilkPEP Diageo Cotton IHG and more. If youre 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
Required Experience:
IC
GALE is the worlds 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 significan...
GALE is the worlds 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 AdAges Business Transformation Agency of the Year and Adweeks 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 Chilis Hard Rock MilkPEP Diageo Cotton IHG and more. If youre 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
Required Experience:
IC
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