Business Data Scientist, gTech Ads

Google LLC; Amsterdam; On-site; EUR 126,000 - 129,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Amsterdam, Netherlands seeks a Share Business Data Scientist for gTech Ads to lead data science engagements focused on marketing effectiveness and portfolio management. The role blends ML, statistics, and analytics with strong collaboration across client teams and Google partners.

You will define issues with customers, build modeling frameworks, and translate outcomes into actionable insights for business decisions. Interviews are typically in-person.

Qualifications

• Master's degree in a quantitative discipline.
• 4 years of analytics experience with coding, SQL, or statistics.
• Experience in cross-functional program management.

Responsibilities

• Lead data science aspects of client engagements in marketing effectiveness and portfolio management.
• Collaborate with customers to unpack issues, identify techniques, and develop a modeling framework.
• Engage stakeholders to assess data readiness and scale a proof-of-concept to a large solution.
• Translate data and model results into actionable insights for decision-making; co-present with clients.
• Collaborate with Product/Engineering to scale capabilities of the Applied Data Scientist team.

Skills

Analytics

Coding

SQL

Cross-functional

Education

Master's degree

Tools

Python

R

SQL

Job description

Share Business Data Scientist, gTech Ads

Google Amsterdam, Netherlands

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.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R), querying databases (e,g., SQL), or statistical analysis.
• Experience in cross-functional program/project management, operational process execution, vendor team management, operations hubs, or distributed operational workflows.

Preferred qualifications:

• 2 years of experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
• 2 years of experience using or deploying digital analytics and measurement solutions.
• Experience forecasting demand or volume in an operations, contact center, workforce management, or supply chain context; or familiarity with support operations metrics (SLA, AHT, Shrinkage) and capacity planning and staffing methodologies (e.g., Erlang C).
• Proficiency in Computer Vision and NLP in the context of marketing analytics and the ability to bring generative AI technologies to customer issues in marketing.
• Understanding of the statistical algorithms typically used in Marketing Analytics.

About the job

The gTech Ads LCS team is a team of solution-oriented trusted advisors supporting the biggest and most complex advertisers. Our consultative services take our deep technical and product expertise and combine it with our powerful understanding of customer’s needs and goals to solve their biggest business challenges allowing them to grow and get the most out of Google solutions. In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

The gTech Ads LCS team is a team of solution-oriented trusted advisors supporting the biggest and most complex advertisers. Our consultative services take our deep technical and product expertise and combine it with our powerful understanding of customer’s needs and goals to solve their biggest business challenges allowing them to grow and get the most out of Google solutions. In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Netherlands: €126000 - €129000 (EUR) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with expertise in ML and statistics.
• Collaborate with customers to unpack the issues, identify the best statistical techniques, and own the development of a modeling framework.
• Engage important stakeholders to assess data and model readiness and to scale a proof-of-concept to a large solution.
• Work with customers and internal teams to translate data and model results into tactical insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Scientist (DS) team, employing methods which create opportunities for scale, proactively helping 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.