We are looking for a Full-Cycle Data Scientist who can own data science initiatives end-to-end, from identifying business problems to deploying, monitoring, and improving production-ready solutions. This role goes beyond modelling, requiring strong ownership, professional ML engineering skills, a broad understanding of business, and the ability to deliver tangible business impact.

Responsibilities

• Maintain a strategic, company-wide perspective for applying machine learning models and AI solutions across business units.
• Identify, evaluate, and define data sources and datasets for the organizational data lake in alignment with business objectives.
• Own the full lifecycle of machine learning products, from problem definition and model development to deployment, delivering measurable business impact for use cases such as optimization and anomaly detection.
• Collaborate with engineering teams, product managers, and customers to integrate ML models into real-world products and services.
• Communicate analytical insights and technical decisions clearly to stakeholders.
• Work with AI tools to speedup development and reduce time to production.
  
  

Requirements

• B.Sc. in Computer Science, Mathematics, Electrical Engineering, Physics, or a related field; M.Sc. is a plus.
• 4+ years of hands-on industry experience in Data Science and ML Engineering, including developing and deploying production-grade solutions.
• Excellent Python programming skills, including proficiency in ML Engineering and Data Science libraries such as scikit-learn, PyTorch, pandas, XGBoost, CATboost and Keras.
• Strong SQL skills for querying, manipulating, and analyzing large datasets efficiently.
• Strong technical skills, excellent problem-solving abilities, and the ability to present complex ideas clearly to both technical and non-technical audiences.