Data Science Manager, gTech Ads Solutions

About the job

Your work spans advanced experiments, incrementality and causality assessment, and cutting-edge solutions like Marketing Mix Modeling (MMM) and Geo experiments for causality measurement (GeoX).

If you are passionate about advocating innovation, mentoring technical talent, and delivering high-impact, AI-first measurement strategies at Google scale, this team offers an unparalleled environment for industry-defining impact.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Poland: zł460000 - zł471000 (PLN) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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), while establishing 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.

Qualifications

Minimum qualifications:

• 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.

Preferred qualifications:

• 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 adept at distilling 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.