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About the Role
The gTech Ads LCS team comprises solution-oriented trusted advisors who support Google's largest and most complex advertisers. Our consultative services leverage deep technical and product expertise, combined with a strong understanding of customer needs and goals, to solve significant business challenges and maximize the value clients derive from Google solutions. Within gTech Users and Products (gUP), our mission is to champion Google's users by creating helpful and reliable experiences across the product ecosystem. We achieve this by providing support and assistance to partners and consumers, representing their needs to product partners, and proposing fixes and features that enhance their engagement with Google's diverse product offerings. Additionally, we offer a variety of product services to ensure our products are optimized globally, including localization, digitization, and partner integration.
Responsibilities
- Lead data science aspects of client engagements in marketing effectiveness and marketing portfolio management, utilizing expertise in ML and statistics.
- Collaborate with customers to understand issues, select appropriate statistical techniques, and develop modeling frameworks.
- Engage key stakeholders to evaluate data and model readiness and scale proofs-of-concept into comprehensive solutions.
- Translate data and model results into actionable insights for decision-making, working with customers and internal teams.
- Co-present recommendations to clients and work with them to integrate these into their business processes.
- Collaborate with Product/Engineering teams to enhance and optimize the capabilities of the Applied Data Scientist (DS) team, employing scalable methods and driving innovation.
Requirements
- Master's degree in a quantitative discipline (e.g., Statistics, Engineering, Sciences) or equivalent practical experience.
- 4 years of experience in analytics for product or business problems, including coding (e.g., Python, R), database querying (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.
Skills
- ML
- Statistics
- Python
- R
- SQL
- Computer Vision
- NLP
- Generative AI
- Marketing Analytics
- Digital Analytics
- Demand Forecasting
- Capacity Planning
- Staffing Methodologies
- Erlang C
Location
- Netherlands
Work Type
- Full-time
Experience Level
- 4 years
- 2 years
Education Level
- Master's degree
Salary/Compensations
- €126000 - €129000 (EUR)
Benefits
- 15% bonus target
- Equity
- Benefits
About the Company
- 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).