Lead Data Scientist
The company and our mission:
Zartis is a digital solutions provider working across technology strategy, software engineering and product development.
We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.
We are looking for a Lead Data Scientist to work on a project in the media industry.
The project:
Our teammates are talented people from a wide range of backgrounds, and we are committed to building an inclusive culture grounded in trust, ownership, and innovation.
This role sits at the intersection of data science, product, and engineering. You will help define how risk is measured, explained, evaluated, and governed over time — shaping scoring frameworks, entity resolution across complex data sources, evaluation standards, and production ML/AI systems. It is a hands-on lead role, combining technical depth with decision-making, ownership, and cross-functional collaboration.
What you will do:
• Design and own explainable, decision-ready scoring frameworks that evolve over time and support executive use cases.
• Build models that clearly explain what changed, why, and with what evidence, including confidence and uncertainty.
• Lead entity resolution across licensed news, social, and broadcast/video data, ensuring measurable and continuously improving quality.
• Define evaluation standards, run disciplined experiments, and partner with Product and Engineering to bring ML/AI features safely into production.
• Establish and uphold production and governance standards including monitoring, drift detection, auditability, and responsible AI practices.
• Translate model outputs into clear verification workflows, not black-box answers.
• Lead cross-functional delivery and help scale the team through mentoring and hiring, while remaining hands-on.
What you will bring:
• 7+ years in applied Data Science / ML, with multiple production deployments in a commercial environment (SaaS strongly preferred).
• Proven experience leading cross-functional teams to deliver production-ready ML/AI (even if you weren’t the people manager).
• Strong grounding in: classification/scoring/ranking, NLP (and/or LLM applications), statistics, evaluation, and experimentation.
• Demonstrated ability to build explainable systems: not just performance, but transparency, evidence, and user trust.
• Experience designing evaluation strategies: labeled datasets, human-in-the-loop review, acceptance thresholds, monitoring and drift.
• Comfortable operating in ambiguity with high ownership and high pace.
Nice to have:
• Strong experience matching and linking records at scale (e.g. probabilistic matching, embeddings, graph approaches).
• Experience working in regulated environments (financial services is a plus), with a focus on auditability, documentation, and controls.
• Experience evaluating and improving LLM reliability (prompt and retrieval evaluation, reducing hallucinations, guardrails).
• Experience with computer vision or multimodal systems, especially for detecting manipulated or inauthentic media.
What we offer:
• 100% Remote Work
• WFH allowance: Monthly payment as financial support for remote working.
• Career Growth: We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression.
• Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.
• Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.
• Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.
• Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.
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