Verified Job
IT / Software / Data Analyst
Product Data Scientist
IT / Software / Data Analyst
#746804
Remote / WFH
Google · Bengaluru, Karnataka ·
Job Description
Job description
Role Overview:
As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners across the organization. Your primary responsibility will be to serve as an analytics expert, utilizing your expertise in analysis applications and coding to help partners make better decisions based on data-driven insights. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products, conduct in-depth analysis of large datasets, and communicate complex data and analysis to various stakeholders. Your role will contribute to guiding Google Ads strategy and ensuring effective advertising solutions that connect businesses with customers.
Key Responsibilities:
- Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products.
- Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development.
- Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners.
- Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance.
Qualifications Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.
- Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling.
- Excellent communication and presentation skills with the ability to influence stakeholders. Role Overview:
As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners across the organization. Your primary responsibility will be to serve as an analytics expert, utilizing your expertise in analysis applications and coding to help partners make better decisions based on data-driven insights. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products, conduct in-depth analysis of large datasets, and communicate complex data and analysis to various stakeholders. Your role will contribute to guiding Google Ads strategy and ensuring effective advertising solutions that connect businesses with customers.
Key Responsibilities:
- Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products.
- Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development.
- Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners.
- Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance.
Qualifications Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.
- Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling.
- Excellent communication and presentation skills with the ability to influence stakeholders.
Role Overview:
As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners across the organization. Your primary responsibility will be to serve as an analytics expert, utilizing your expertise in analysis applications and coding to help partners make better decisions based on data-driven insights. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products, conduct in-depth analysis of large datasets, and communicate complex data and analysis to various stakeholders. Your role will contribute to guiding Google Ads strategy and ensuring effective advertising solutions that connect businesses with customers.
Key Responsibilities:
- Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products.
- Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development.
- Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners.
- Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance.
Qualifications Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.
- Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling.
- Excellent communication and presentation skills with the ability to influence stakeholders. Role Overview:
As a Data Scientist at Google, you will play a crucial role in providing quantitative support, market understanding, and strategic perspective to partners across the organization. Your primary responsibility will be to serve as an analytics expert, utilizing your expertise in analysis applications and coding to help partners make better decisions based on data-driven insights. You will collaborate with cross-functional teams to define and track key performance indicators for Google Ads measurement products, conduct in-depth analysis of large datasets, and communicate complex data and analysis to various stakeholders. Your role will contribute to guiding Google Ads strategy and ensuring effective advertising solutions that connect businesses with customers.
Key Responsibilities:
- Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators for Google Ads measurement products.
- Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development.
- Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners.
- Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance.
Qualifications Required:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience with analysis applications and coding (Python, R, SQL) or 2 years of work experience with a Master's degree.
- Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling.
- Excellent communication and presentation skills with the ability to influence stakeholders.
