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Data Scientist

Bengaluru, Karnataka, India
Employment Type
Seniority Level
Mid-Senior level
Job Functions
Information Technology
Marketing & Advertising

About Gale

GALE is a creative media consultancy that brings business insights to brand storytelling and activates it across every channel. With expertise in business strategy, media, CRM, addressable and integrated brand communications, performance marketing, and technology, GALE creates marketing systems and communications that grow businesses. GALE delivers strong outcomes for its partners in automotive, QSR, retail, gaming, entertainment, telecom and more. Founded in 2014, the agency currently has offices in New York, Detroit, Singapore, Toronto, Austin, Los Angeles, London, and Bengaluru.

Some Brands We Work With: Chipotle, Seagate, T-Mobile, NBA, MGM, Allstate, Resorts World Genting, BMO, and Santander. 

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.


Inclusion in Hiring

GALE is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please consider applying for this role even if you do not meet 100% of the suggested requirements, and/or if you have gaps in your resume.  

About the Role

We're currently seeking a Data Scientist to join our rapidly growing big data team - you will have a passion for working with real world data to deliver products and strategies that have real value. The successful candidate will work with clients and internal stakeholders to define, prototype, and produce custom solutions using state-of-the-art big data platforms, analytics, and machine learning.

The ideal candidate will have a background in a quantitative or engineering field and have experience with large datasets, the AWS ecosystem, statistics/analysis, and client-facing activities. You will be enthusiastic, creative, results focused, and have enough confidence to define, build, and present models in industries ranging from automotive to startup.

What You Will Do

  • Supporting the clients by defining and solving specific business problems with hypothesis tests and bespoke models
  • Ingesting, distributing and manipulating large data sets to understand the structure of client data and ready it for modelling
  • Leveraging the GALE Data Science team cluster to create models for item or action recommendation, resource optimization, unsupervised learning of customer dynamics, etc.
  • Producing prototypes, POCs, or APIs to showcase and make available models and their outcomes
  • The opportunity to be mentored and grow your career within a fast moving data science team

Who You Are

  • Experience with SQL on one or more of the following databases Hive, PostgreSQL, Oracle, SQL Server, MySQL
  • Fluency with scripting (Python, Bash, etc.)
  • Experience with statistical programming languages/packages (R, Scipy/Numpy/Scikitlearn)
  • Familiarity with Unix/Linux systems and command-line interfaces and editors
  • Experience loading, cleansing, and analyzing very large datasets
  • Experience with Python web frameworks like Flask or Django a plus
  • Experience with Python deep learning frameworks like Tensorflow or PyTorch a plus

Hiring Process

We want you to be just as discerning in making your next career move as we are finding great talent to join our team. Our interview process generally consists of the following stages to allow you to meet a range of people from various disciplines and domains. You will be assessed at each stage before being invited to move to the next.

  • Phone screen with a member of our Talent Acquisition Team
  • Interview with the Hiring Manager, who will generally be your manager
  • Where relevant for the role, a technical aptitude test (e.g. for domains in technology, data science, etc.)
  • Interview with a member of our team from a different Department than yours
  • Interview with a member of our Leadership Team

Please discuss with our recruiters if you require any accommodations throughout the process to help enable a smooth interview (e.g. accessibility in terms of location, timing, method, etc.)