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About the Role This is a unique opportunity to join ELIYA, a fast-growing marketing measurement agency based in Zurich, Switzerland, and collaborate with a talented team of multidisciplinary experts. We are looking for a Senior Data Scientist with deep expertise in Marketing Measurement and Marketing Mix Modeling (MMM). Beyond strong technical capabilities, you bring a proactive, customer-centric approach, a collaborative spirit, and a growth mindset. Directly reporting to the CEO, you thrive in a fast-paced environment and naturally push boundaries to drive whats possible in marketing effectiveness. Key Responsibilities Model Development & Deployment: Design, build, and deploy robust Marketing Mix Models (MMM) to drive strategic budget optimization and planning for our clients across E-Commerce and Retail. Testing & Experimentation: Design and analyze geo-experiments and incrementality testing frameworks to measure true marketing impact. Client Advisory & Storytelling: Partner directly with clients to define data requirements, develop custom models, and deliver actionable budget recommendations. Present complex statistical insights in a clear, business-friendly manner. Product Innovation: Collaborate with the internal product team on building and scaling our proprietary AI analytics platform. Thought Leadership: Drive innovation by bringing forward next-generation ideas in MMM and marketing analytics. Community Engagement: Contribute to thought leadership content, sharing insights on the latest trends in technology, statistical modeling, and AI for marketing effectiveness. Mentorship & Talent Development: Lead, mentor, and foster the professional growth of data analysts and data scientists. Key Qualifications Experience & Education Education: Masters or PhD in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. Domain Expertise: 3+ years of experience in Marketing Analytics, with a proven track record of building and deploying MMM and media measurement frameworks. Channel Knowledge: Deep understanding of the marketing data ecosystem and digital ad platforms. Experience with both online and offline media channels is a strong plus. Technical Skills Programming & Engineering: Advanced proficiency in Python and R, along with solid software engineering fundamentals (e.g., building APIs with FastAPI). Statistical Modeling: Expertise in statistical and scientific modeling, Bayesian techniques, and frameworks like pymc-marketing. AI & Modern Tooling: Hands-on experience with developer tools like GitHub Copilot or Cursor, as well as modern Agentic AI frameworks (e.g., LangChain, LlamaIndex). Cloud Infrastructure: Practical experience with major cloud platforms (Azure, AWS, or GCP). Communication & Mindset Data Storytelling: Exceptional presentation skills with the ability to translate technical statistical outputs into business-ready narratives. Client Focus & Mindset: Highly collaborative, curious, and motivated by continuous learning in a rapid-evolving space. .
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Four employers are posting at scale: SIMPLE RECRUIT (1,205 jobs), ROYAL ORG PTE. LTD. (795), SKILLMATCH RECRUITMENT (435), and jobgether (371). If you see a job from one of these names, you're looking at a company that hires marketing roles repeatedly. That's a signal of stability—and a chance to learn their hiring patterns across multiple openings.
In your interview, expect this question: 'Tell us about a time you measured the success of a campaign.' Marketing hiring managers ask this because they want proof you think in metrics, not hunches. Come with a real example—conversions, clicks, revenue, engagement rate, cost per acquisition—pick the metric that mattered most. Show you track what you do.
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