Marketing Data Science Associate at YouTube

Company: Google

Job Title: Data Science Associate, YouTube Connected TV

Minimum Qualifications

Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or 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 global impact and user engagement are unmatched. As a Marketing Data Science Associate at YouTube, you will drive informed decision-making and innovation for the YouTube Marketing team by leveraging data. Your role will include analyzing the incremental impact of marketing efforts, optimizing methodologies, developing data science models, and constructing data pipelines.

In collaboration with internal and external datasets, tools, vendors, and the campaign analyst, you will build methodologies and frameworks to ensure the accuracy of marketing-related business questions. Furthermore, you will work closely with cross-functional Data Science and Engineering teams, as well as the Insights and Analytics team.

US Base Salary Range

The salary range for this full-time position is $108,000-$158,000, plus bonus, equity, and benefits. This range reflects the minimum and maximum target for new hire salaries across all US locations. Individual pay is determined by work location and additional factors such as job-related skills, experience, and relevant education or training. Your recruiter will provide more details about the specific salary range for your preferred location during the hiring process. Note that the listed compensation details include the base salary only and do not cover bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Manage data pipelining, the development of data tables, creation of relevant scripts/code, and implementation of dashboards.
• Analyze and develop explanatory and predictive models using appropriate mathematical methods 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 and maintain relationships with cross-functional partners across YouTube and Google.
• Translate business questions into actionable plans for the team.