Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases and performing statistical analysis.
3 years of experience as a people manager within a technical leadership role.
Nice to Haves
Experience preparing and delivering presentations to executive leadership.
Experience in leading and evolving data science and engineering teams with technical strengths.
Ability to operate in a cross-functional organization and collaborate with other teams.
Ability to distill analyses into data driven narratives.
Excellent communication skills, with the ability to communicate technical and statistical concepts clearly and concisely among audiences at different levels.
What You'll Be Doing
Lead a team of Data Scientists delivering data science aspects of client engagements in marketing effectiveness and portfolio management.
Develop a data science roadmap aligning with Data Science strategy and OKRs.
Establish project goals, align expectations, coordinate resources, and provide technical leadership.
Provide analytical thought leadership in Data Science and Measurement through proactive and strategic contributions.
Influence stakeholders via effective presentations and written communication.
Collaborate with Product and Engineering teams to increase and optimize capabilities and drive innovation.
Join the Data Science team within the MID Hub to build statistical models optimizing campaign strategies and advertising ROI.
Work on advanced experiments, incrementality and causality assessment, Marketing Mix Modeling (MMM), and Geo experiments for causality measurement (GeoX).
Advocate innovation, mentor technical talent, and deliver high-impact, AI-first measurement strategies at Google scale.