Data Science Manager, gTech Ads Solutions
Job Summary
Job Description
As a Data Science Manager in Google's gTech Ads Solutions, you'll lead a team of data scientists using Google's Machine Learning to create data science and measurement solutions for large clients. You'll collaborate with clients, agencies, and internal teams. Responsibilities include leading client engagements focusing on marketing effectiveness, developing data science roadmaps aligned with OKRs, providing analytical leadership, influencing stakeholders, and collaborating with product/engineering teams to optimize capabilities. The role requires applying best data science practices to solve advertising customer problems and building a strategy to deliver applied data science using Google's Machine Learning. You will be responsible for building and executing gTech’s strategy and outlook to deliver applied data science to Google's largest ads customers.
Must have:
- Master's degree in quantitative discipline
- 9+ years analytics experience solving product/business problems
- 3+ years people management experience in technical leadership
- Proficiency in Python, R, SQL
- Experience with database querying and statistical analysis
- Lead data science teams
- Develop data science roadmaps
- Excellent communication skills
Good to have:
- Experience leading and evolving data science and engineering teams
- Experience presenting to executive leadership
- Cross-functional collaboration experience
- Ability to distill analyses into data-driven narratives
6 skills required
Job Details
Minimum qualifications:
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 3 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
- Experience in leading and evolving data science and engineering teams with technical strengths.
- Experience preparing and delivering presentations to executive leadership.
- Ability to operate in a cross-functional organization where collaboration with other teams is essential to the success of our team.
- Ability to adept at distilling analyses into data driven narratives.
- Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences at different levels.
About the job
As a Data Science Manager in the Measurement Center of Excellence, you will lead a team of technical experts, utilizing Google’s Machine Learning capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients. You will closely collaborate with clients, agencies and internal teams.In this role, you will be responsible for leading a team of data scientists in applying best data science practices to solve our ads customers’ problems in marketing. You will be responsible for building and executing gTech’s strategy and outlook to deliver applied data science to Google's largest ads customers, utilizing the best of Google’s Machine Learning capabilities to build innovative solutions that address our customer's problem-space.
Responsibilities
- Lead a team of Data Scientists responsible for delivering data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management.
- Develop a data science roadmap for your team that aligns with Data Science strategy and Objectives and Key Results (OKRs). Establish project goals, align individuals' expectations, coordinate resources, and provide technical leadership in-line with the long-term objectives.
- Provide analytical thought leadership in the areas of Data Science and Measurement through proactive and strategic contributions.
- Influence stakeholders through effective presentations and written communication.
- Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation.
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