Data Scientist, Google Ads
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Dataanalys · Maskininlärning
I korthet
Google is seeking a Data Scientist for their Google Ads team in India. This role involves using data science, ML, and statistical techniques to solve business challenges, collaborate with clients, and drive insights. The position requires a Bachelor's degree in a quantitative field and offers opportunities in Gurugram, Bengaluru, and Mumbai.
Ansvarsområden
- Lead data science aspects of client engagements in marketing effectiveness and portfolio management, utilizing deep ML and statistics knowledge.
- Collaborate with customers to solve problems using statistical techniques, developing end-to-end modeling frameworks.
- Engage stakeholders to assess data and model readiness, and scale proofs-of-concept to larger solutions.
- Translate data and model results into actionable tactical and strategic insights for decision-making.
- Co-present to and work with clients to integrate recommendations into business processes.
- Collaborate with Product/Engineering teams to enhance Applied DS team capabilities and drive innovation.
- Develop a comprehensive understanding of Google data structures and metrics, advocating for product changes.
Krav
- Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- Experience in data science, statistics, or a related field.
- Experience with statistical software (e.g., Python, R or MATLAB) and database languages (e.g., SQL).
- Good understanding of AI/ML and statistical methods typically used in marketing analytics.
- Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
- English proficiency is a requirement.
Önskade kvalifikationer
- Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
- 2 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Förmåner
- Opportunity to work on challenging business problems.
- Collaborative and customer-centric environment.
- Drive implementation and track impact of recommendations.
- Build long-term tech and marketing capabilities for clients.
- Work with cutting-edge advertising technology.
- Equal opportunity and affirmative action employer.
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