Senior Data Scientist

📋 Description

• Reputation scoring: improve and validate the models powering reputation scores, building rigorous
• Narrative intelligence: advance how related content is identified and clustered into meaningful
• AI-powered scoring signals: experiment with and integrate new signals, including LLM-based
• Trust and integrity: develop approaches to identify coordinated activity, impersonation, scams and
• Data quality and reliability: build automated validation, monitoring and safeguards to ensure the
• Own agreed deliverables end to end, design experiments, challenge assumptions, demonstrate

🎯 Requirements

• 5+ years of applied data science experience, including a proven track record of developing
• Strong Python and SQL expertise, working with large-scale, complex datasets.
• Practical experience with LLMs, including classification, prompt engineering, structured outputs
• Experience with clustering and graph-based techniques, embeddings, similarity measures and
• Strong statistical foundations, including sampling, confidence intervals, calibration, experiment
• Production engineering experience, comfortable contributing code through pull requests and working

🎁 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 a
• Training: For Tech training at Zartis, you have time allocated during the week at your disposal.
• 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