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Data Scientist, gTech Ads Solutions

GoogleBengaluru, Karnataka, India; Hyderabad, Telangana, India; +2 more; +1 more
Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Gurugram, Haryana, India.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Gurugram, Haryana, India.

Minimum qualifications:

  • Bachelor's degree in Statistics, Engineering, Science, or equivalent practical experience.
  • 3 years of experience using analytics to solve product or business problems with coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications:

  • Experience in delivering insights from Machine Learning to customers (e.g., problem scoping/definition, modeling, interpretation).
  • Experience in deploying digital analytics and measurement solutions.
  • Experience in Computer Vision and Natural Language Processing (NLP) with the ability to bring Generative AI technologies to customer problems in marketing.
  • Experience in leveraging data insights into storytelling for business stakeholders.
  • Knowledge of the statistical algorithms used in Marketing Analytics.

About the job

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

In this role, you will be responsible for applying data science practices to solve our ads customer's problems in marketing and execute on gTech’s strategy and goals to deliver applied data science to Google's ads customers, utilizing the best of Google’s ML capabilities to build solutions.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

  • Guide data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management.
  • Collaborate with customers to resolve their problems and identify the statistical techniques that can solve the problem, and own the development of modeling framework.
  • Engage with stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
  • Work with customer and internal teams to translate data and model results into tactical insights for selection making, and work with clients to integrate recommendations into business processes.
  • Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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