Senior Data Scientist (Data&AI)

Location: Warsaw or Krakow, Poland; hybrid work with remote work most of the time and in-person collaboration at a client site or hirify.global office depending on project needs.

Company

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

What you will do

• Design, develop, and validate machine learning and predictive analytics solutions.
• Work with external clients to translate business needs into analytical objectives, communicate findings, and recommend actions.
• Build scalable analytical solutions with Python, PySpark, cloud platforms, and machine learning frameworks using large datasets, feature engineering, and statistical methods.
• Apply MLOps practices including experiment tracking, model deployment, CI/CD, Responsible AI, and model explainability.
• Explore LLMs and Generative AI for Text-to-SQL, data summarization, and conversational analytics.

Requirements

• At least 4 years of professional experience in Data Science, Machine Learning, Data Engineering, or a closely related area.
• Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Data Science, or another relevant technical field.
• Strong hands-on Python and PySpark skills, including data wrangling, feature engineering, distributed processing, and large-scale datasets.
• Knowledge of machine learning, predictive modeling, statistics, and probability, with experience using scikit-learn, XGBoost, PyTorch, or TensorFlow.
• Practical MLOps experience, including MLflow or Weights & Biases and CI/CD for machine learning models.
• Strong experience with AWS, Azure, or GCP for model deployment and data processing.
• Experience working directly with external clients and translating business requirements into analytical objectives and actionable recommendations.
• Understanding of Responsible AI, including fairness, explainability, and bias mitigation, plus knowledge of LLMs and Generative AI for analytical use cases.
• Proficiency with AI-assisted development tools such as Cursor, Copilot, or similar solutions.
• Fluent English at a minimum C1 level.

Nice to have

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

Culture & Benefits

• Permanent employment contract with a professional development path supported by a People Lead and access to coaching.
• Training in soft skills, technical areas, languages, GenAI, e-learning, courses, and certifications.
• Private medical care, life insurance, Employee Assistance Program, and access to the Worksmile platform and Multisport benefits.
• Employee Share Purchase Plan with quarterly dividends for eligible employees who own company shares.
• Paid employee referral program.