Lead Marketing Data Scientist (AI)

#vacancy #вакансия #remote #fulltime #MLLead #LeadMarketingDataScientist

🚀 Lead Marketing Data Scientist / ML Lead
📍 Remote (not RF and RB) | Full-time
💰 Salary: depending on experience

🏢 About the Company:
Allformance.com is a data-driven media consultancy and trusted partner of Google, TikTok, Snap, and Amazon.
We are building a dedicated Marketing Measurement & AI unit focused on:
• Marketing Mix Modeling (MMM)
• Predictive LTV (pLTV)
• Causal / Incrementality modeling
• AI-driven marketing intelligence products
Our stack is primarily based on Google ecosystem (GCP, BigQuery, Vertex AI).
This role is critical: the person will become the technical backbone of the measurement business line and grow into a future Head of Marketing AI.

📝 Mission of the Role:
Build and scale the ML foundation for marketing measurement products.
This is not a pure research role.
This is a builder + architect + team lead role.

💼 Ideal candidate profile:
We are NOT looking for:
• pure academic ML researchers
• data scientists without production experience
• backend engineers without modeling expertise

We ARE looking for:
• a strong Senior Data Scientist ready to step into leadership
• someone who wants ownership
• someone ambitious enough to grow into a future Head of Marketing AI
• someone comfortable working in a fast-growing, product-oriented environment

🔬Must-have technical expertise:
• Hands-on experience with Marketing Mix Modeling (MMM) (Bayesian modeling preferred, LightweightMMM or similar frameworks).
• Experience with predictive LTV / revenue forecasting models.
• Strong background in: regression / Bayesian models, causal inference, time-series modeling.
• Python (advanced).
• Production mindset: Docker, Git, model deployment, MLOps principles.
• SQL (advanced).
Strong plus:
• Experience with Google Cloud (BigQuery, Vertex AI).
• Experience deploying models to production environments.
• Experience building data pipelines with Data Engineers.
• Experience in marketing analytics (ROAS, CPA, incrementality, attribution).

👥 Leadership expectations:
• Ability to mentor and lead 2–3 Data Scientists.
• Participate in hiring future DS / DE team members.
• Work closely with Product & Commercial teams.
• Translate business questions into modeling frameworks.
• Explain model outputs to non-technical stakeholders.

🌟 What We Offer:
• A remote-first, globally distributed team.
• A driven and collaborative team who are passionate about what they do, support one another, and grow together.
• Corporate English lessons and speaking clubs with colleagues from around the world.
• Private health insurance to keep you covered and cared for.

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