YouTube
Data Science Associate, Offers, YouTube Connected TV
YouTube, New York, New York, us, 10261
Minimum qualifications:
Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.2 years of data science experience using SQL or Python.Preferred qualifications:
Experience with client-side media and marketing data science.Experience developing media measurement methodologies, such as marketing mix models, multi-touch attribution logic, and causal lift studies.Understanding of incrementality measurement methodologies and frameworks.Demonstrated skills in project management, stakeholder management, and process flow.About the job
YouTube's reach and engagement is unparalleled. YouTube has become the expressive platform of a generation empowered to shape what matters in culture and society today. Together we are building a truly global destination for creativity, learning, and free expression. Youtube Marketing's Data Science/Infra team's team mission is to leverage the power of data to drive informed decision making and innovation for Youtube Marketing.
As the Marketing Data Science Associate at YouTube, you will conduct analysis related to incremental impact of marketing efforts and develop methods of optimization for the YouTube Marketing team. In this role, you will be responsible for working with internal and external data sets, tools and vendors, partnering with the campaign analyst to develop methodologies and frameworks, and build data science models and data pipelines to ensure accuracy when answering business questions around the marketing business. You will also work closely with the cross-functional Data Science and Engineering teams on behalf of the Insights and Analytics team.
The US base salary range for this full-time position is $108,000-$158,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Manage data pipelining, development of data tables, creation of relevant script/code, and implementation of dashboards.Analyze and develop explanatory models and predictive models using appropriate mathematical methods, helping to inform outcomes-based marketing plans.Execute models and apply statistical tools to enable marketing optimization/selection and measurements (i.e. criteria selection scorecards).Build relationships with cross-functional partners across YouTube and Google.Provide support by framing and translating business questions into appropriate action plans for the team.
Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.2 years of data science experience using SQL or Python.Preferred qualifications:
Experience with client-side media and marketing data science.Experience developing media measurement methodologies, such as marketing mix models, multi-touch attribution logic, and causal lift studies.Understanding of incrementality measurement methodologies and frameworks.Demonstrated skills in project management, stakeholder management, and process flow.About the job
YouTube's reach and engagement is unparalleled. YouTube has become the expressive platform of a generation empowered to shape what matters in culture and society today. Together we are building a truly global destination for creativity, learning, and free expression. Youtube Marketing's Data Science/Infra team's team mission is to leverage the power of data to drive informed decision making and innovation for Youtube Marketing.
As the Marketing Data Science Associate at YouTube, you will conduct analysis related to incremental impact of marketing efforts and develop methods of optimization for the YouTube Marketing team. In this role, you will be responsible for working with internal and external data sets, tools and vendors, partnering with the campaign analyst to develop methodologies and frameworks, and build data science models and data pipelines to ensure accuracy when answering business questions around the marketing business. You will also work closely with the cross-functional Data Science and Engineering teams on behalf of the Insights and Analytics team.
The US base salary range for this full-time position is $108,000-$158,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
Manage data pipelining, development of data tables, creation of relevant script/code, and implementation of dashboards.Analyze and develop explanatory models and predictive models using appropriate mathematical methods, helping to inform outcomes-based marketing plans.Execute models and apply statistical tools to enable marketing optimization/selection and measurements (i.e. criteria selection scorecards).Build relationships with cross-functional partners across YouTube and Google.Provide support by framing and translating business questions into appropriate action plans for the team.