Senior Data Scientist –GCP Focus (Marketing Analytics) at Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: • The work we do and the innovation we drive • Our values of share, care and dare • A workplace culture that fosters creativity, diversity and autonomy • Our borderless, global framework, which enables seamless collaboration The role Ideal candidates will bring a strong quantitative background and a disciplined analytical mindset. While they will have demonstrated experience writing code, they approach programming as a way to express intellectual curiosity and analytical thinking—not simply as a résumé‑building exercise. We are particularly seeking candidates with hands-on experience in Google Cloud Platform (GCP) and marketing data modeling to support Valtech’s growing cloud-based data, AI, and marketing analytics initiatives. Valtech provides a collaborative platform, mentorship, and training to help individuals reach their full potential. Role responsibilities • Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels • Conduct root-cause analysis of production issues that lead to adverse model outputs • Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data • Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases • Contribute well-tested, maintainable code to existing object-oriented Python codebases • Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor • Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions • Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences • Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications • Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth • Engineer data infrastructure, libraries, and APIs supporting BI, ML, and marketing analytics pipelines • Architect cloud data platform components that enable scalable analytics and modeling solutions • Build and manage project timelines, dependencies, and risks • Gather stakeholder requirements and perform technical due diligence to design pragmatic, data-driven marketing and business solutions Must have qualifications To be considered for this role, you must meet the following essential qualifications: • Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns) • Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys) • Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines • Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics • Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems • Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation • Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting • Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations • 4+ years of experience in similar data science, marketing analytics, or advanced analytics roles • Advanced English proficiency Nice to have qualifications • Experience contributing to packaged software libraries in open-source or industry repositories • Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3. • Proficiency in Looker and SQL-first analytical storytelling; ability to produce decision-ready visuals and narratives for marketing and executive audiences. • Proficiency scripting in UNIX environment • Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc. • Proficiency with cloud architecture components (AWS, Azure, Google) • Proficiency with GCP architecture components relevant to secure analytics products (IAM/service accounts, RBAC-aware data access, deployment and observability patterns) • Proficiency with data pipeline software such as Airflow, Luigi, or Prefect • Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action • Proficiency in front and back-end web application development stacks and frameworks (Javascript, HTML, CSS, React/Vue/AngularJS) including API design (REST/GraphQL) and library development • Experience leading and managing technical data/analytics/machine learning projects If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits Beyond a competitive compensation package, we offer: • Flexibility, with remote and hybrid work options (country-dependent) • Career advancement, with international mobility and professional development programs • Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.