Senior Data Scientist (AI Personalization)

Location: Remote work from Central and Eastern Europe, or full-time at offices in Bratislava, Slovakia, or Brno and Prague, Czechia

Base salary: 1,470,000–1,830,000 CZK per year

Company

hirify.global builds an AI-powered personalization platform for more than 1,400 global brands, including autonomous search, conversational shopping, autonomous marketing, and the Loomi AI engine.

What you will do

• Frame ambiguous business questions as measurable machine-learning and experimentation problems.
• Analyze behavioral data, product catalogues, and event streams at terabyte scale using BigQuery and Databricks.
• Build and evaluate propensity, churn, contextual bandit, autosegmentation, uplift, and incrementality models.
• Design offline metrics, backtests, and A/B experiments to determine whether models improve business outcomes.
• Evaluate external research and methods through literature review and practical proofs of concept.
• Document models and evidence for handoff to ML Engineering and explain results to Product, Engineering leadership, and customers.

Requirements

• 5+ years of experience building and shipping machine-learning models used in industry.
• Strong Python and SQL skills, including the ability to work independently with a data warehouse.
• Solid knowledge of classical machine learning, including tree-based models, regression, classification, and clustering.
• Strong experiment design and model-evaluation skills, with an understanding of causal interpretation and metric movement.
• Experience with cloud data platforms; hirify.global uses GCP, BigQuery, and Databricks.
• Quantitative degree or equivalent practical experience, plus working written and spoken English.

Nice to have

• Depth in causal inference and uplift modelling, contextual bandits, sequential decision-making, or off-policy evaluation.
• Experience with ranking, recommendation, information retrieval, LLM evaluation, or applied generative AI.
• Daily use of agentic coding tools and an informed view of their strengths and limitations.

Culture & Benefits

• Virtual-first work environment with flexible working hours and hubs across three continents.
• Freedom and trust with an emphasis on responsibility and measurable results.
• Annual professional education budget of $1,500 and access to development workshops and coaching.
• Five paid volunteer days, quarterly additional DisConnect days, and extended parental leave of up to 26 weeks for primary caregivers.
• Employee assistance, Calm subscription, sports, yoga, meditation opportunities, and performance bonuses.
• Restricted stock units or stock options may be available depending on role, seniority, and location.