Zartis

Lead Data Scientist

Zartis

full-time

Posted on:

Location Type: Hybrid

Location: Anywhere in Europe

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Job Level

Senior

About the role

  • 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.

Requirements

  • 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:
  • Deep experience with entity resolution / record linkage at scale (probabilistic matching, embeddings, graph-based approaches).
  • Experience building for regulated / high-governance contexts (financial services is a plus): auditability, documentation, controls.
  • LLM evaluation and reliability methods (prompt eval, retrieval eval, hallucination mitigation, guardrails).
  • Computer vision / multimodal experience, especially around authenticity, manipulation detection, or media forensics.
Benefits
  • 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.
  • Zartis 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 conferences.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data ScienceMachine LearningNatural Language ProcessingStatisticsEvaluationExperimentationEntity ResolutionRecord LinkageComputer VisionMultimodal Experience
Soft Skills
LeadershipCross-functional CollaborationMentoringHigh OwnershipOperating in Ambiguity