Mid Data Science (Data&AI)

Location: Warsaw or Krakow, Poland. Hybrid work with remote work most of the time, plus onsite work at a client or hirify.global office and required in-person collaboration.

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, and operational solutions for businesses, governments, and other organizations.

What you will do

• Build and deploy machine learning models and analytical solutions that solve enterprise business problems at scale.
• Design advanced analytics pipelines covering data exploration, feature engineering, model training, evaluation, and production deployment.
• Use GenAI and LLMs for conversational analytics, Text-to-SQL, automated insight generation, and intelligent exploration of enterprise datasets.
• Translate business requirements into data science approaches, select appropriate methods, validate assumptions, and communicate results to technical and non-technical stakeholders.
• Collaborate with engineers, architects, and consultants on solution design and technical direction.

Requirements

• 3+ years of relevant professional experience in Data Science, Machine Learning, or Data Engineering, including strong Python skills and practical PySpark and distributed data processing experience.
• Strong foundations in machine learning, predictive modeling, statistics, probability, data wrangling, and feature engineering.
• Experience with at least one ML framework such as scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Hands-on MLOps experience, including experiment tracking with MLflow or Weights & Biases and CI/CD practices for ML models.
• Strong experience with AWS, Azure, or GCP for model deployment and data processing.
• Familiarity with LLMs and Generative AI in analytical scenarios, plus proficiency with AI-assisted development tools such as Cursor or Copilot.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or a related technical field.
• Good command of English at B2+ level.

Nice to have

• Experience with Databricks, NLP solutions, or text processing at scale.
• Hands-on experience with RAG pipelines, embeddings, or vector databases for analytical use cases.
• Experience with Power BI, Tableau, Streamlit, Docker, FastAPI, Flask, Responsible AI practices, open-source projects, published research, or Kaggle competitions.

Culture & Benefits

• Permanent employment contract with individual People Lead support, professional development planning, and access to coaching.
• Training in soft skills, technical topics, languages, GenAI, e-learning, courses, and certifications.
• Employee Assistance Program with legal, financial, and psychological consultations.
• Private medical care, life insurance, employee share purchase plan eligibility, quarterly dividends for eligible shareholders, and a paid referral program.
• Access to Worksmile products and services, including the Multisport card.
• Inclusive workplace committed to diversity, equal opportunity, and sustainability.