G

Associate, Data Science

IndiaBangalore · India - Bengaluru · BengaluruFull Timemid
Data ScienceData & AI
0 views0 saves0 applied

Quick Summary

Overview

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,

Technical Tools
Data ScienceData & AI

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

  • 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,

Listing Details

Posted
March 27, 2026
First seen
March 27, 2026
Last seen
April 24, 2026

Posting Health

Days active
28
Repost count
0
Trust Level
25%
Scored at
April 25, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

G
Associate, Data Science