Senior Data Scientist (AI)

Location: European Union; workplace: hybrid, with 100% remote work offered.

Company

hirify.global is an AI transformation and technology consulting partner that designs, builds, and scales secure, cloud-native technology solutions.

What you will do

• Improve and validate reputation-scoring models using rigorous evaluation frameworks for accuracy, stability, responsiveness, and explainability.
• Develop narrative intelligence by clustering related content with embeddings, graph-based techniques, and human-labelled evaluations.
• Experiment with LLM-based relevance classification, source credibility, and other signals to strengthen intelligence quality.
• Develop methods to detect coordinated activity, impersonation, scams, and other trust and integrity risks.
• Build automated data validation, monitoring, and safeguards for reliable intelligence delivery.
• Own workstreams from problem definition and experimentation through production delivery, contributing measurable improvements and production code.

Requirements

• 5+ years of applied data science experience, including developing, deploying, and monitoring production models or scoring systems.
• Strong Python and SQL skills with large-scale, complex datasets.
• Practical experience with LLM classification, prompt engineering, structured outputs, and rigorous model evaluation.
• Experience with clustering, graph-based techniques, embeddings, similarity measures, and evaluation without perfect ground truth.
• Strong statistical foundations in sampling, confidence intervals, calibration, experiment design, and human-labelling methodologies.
• Production engineering experience with pull requests, TypeScript, Node.js, and dbt, plus strong communication with Product, Engineering, and business stakeholders.

Nice to have

• Experience in social media intelligence, news analytics, reputation monitoring, trust and safety, or fraud detection.
• Experience with time-series modelling, anomaly detection, signal smoothing, and decay functions.
• Familiarity with AWS, OpenSearch, LangChain, or Langfuse.
• Experience detecting coordinated or inauthentic online behaviour.
• Experience using AI-assisted development to improve productivity and delivery speed.

Culture & Benefits

• Remote work with a monthly work-from-home allowance.
• Career development through a structured program and 360-degree feedback.
• Allocated time and funding options for technical training, courses, English classes, books, conferences, and events.
• Mentoring opportunities as both mentor and mentee.
• Wellbeing support through mental health, nutrition, physiotherapy, fitness, and related specialist sessions.
• Multicultural environment with online events, team-building activities, and communities.