Business and Marketing Data Scientist-gTech Ads Job in Bangalore at Google

Google is hiring for the role of Business and Marketing Data Scientist-gTech Ads!

Responsibilities of the Candidate:

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to solve their problems identify the best statistical techniques, and develop a modeling framework.
• Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/ Engineering teams to increase and optimize the capabilities of our Applied Digital Skills team, employing methods that create opportunities for scale, proactively helping to drive innovation.

Requirements:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 3 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.
• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• 2 years of experience in data science, or a related technical field.
• Experience with statistical software (such as Python, R, and/or MATLAB) and database languages (SQL).
• Experience delivering insights from Artificial Intelligence (AI)/Machine Learning (ML) and statistical solutions to clients, including problem scoping/definition, modeling, and interpretation.
• Experience with data extraction and modeling tools (SQL, Python).
• Understanding of AI/ML and statistical methods typically used in marketing analytics.