Data Science Manager, gTech Ads Solutions

Google; Województwo mazowieckie; On-site; PLN 460,000 - 471,000; Full time

Benefits offered by this job

Equity

Bonus potential

Benefits

Job summary

Google’s gTech Ads Solutions in Warsaw, Poland is seeking a Data Science Manager to lead a specialized team building statistical models to optimize campaigns and ROI. The role covers advanced experiments, MMM and Geo experiments, and AI-first measurement strategies at Google scale.

You will mentor talent, drive a DS roadmap, and collaborate with Product/Engineering to scale capabilities while delivering high-impact insights.

Qualifications

• Master's degree in statistics, engineering, sciences, or equivalent practical experience.
• 7 years of analytics experience solving product or business problems, coding (Python, R, SQL), querying databases, and statistical analysis.
• 3 years of leadership as a people manager in a technical setting.

Responsibilities

• Lead a team of Data Scientists delivering data science for marketing effectiveness and ROI.
• Develop a data science roadmap aligned with strategy and OKRs, coordinating resources and goals.
• Provide analytical thought leadership in Data Science and Measurement.
• Influence stakeholders through presentations and written communication.
• Collaborate with Product/Engineering to scale Applied Data Science capabilities.

Skills

Python

R

SQL

Education

Master's degree in a quantitative discipline

Job description

Data Science Manager, gTech Ads Solutions

corporate_fare Google place Warsaw, Poland

info_outline X In most instances, this position requires in-person interviews as part of the hiring process.

• 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.

About the job

In this role, you will join the Data Science team within the MID Hub, lead a specialized group of experts building statistical models to help optimize campaign strategies, and advertise Return on Investment (ROI).
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 .

• 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.