Senior Data Scientist Poland or Remote

Responsibilities

• Work within the Supply Chain domain to identify key business challenges and select the appropriate data and methodologies to address them
• Design, train, and optimize machine learning models, validate and test these models to ensure they align with business requirements
• Perform analysis of existing data and construct data pipelines to prepare inputs for machine learning models and optimization tools
• Evaluate current models and suggest, implement, and test enhancements to improve performance and accuracy
• Collaborating with stakeholders and maintain daily communication with the data science team

Requirements

• At least 3 years of experience in data science or machine learning
• Strong hands-on experience with Python
• Familiarity with Python data science (DS) and machine learning (ML) ecosystems
• Proficiency in formulating and executing experimental hypotheses to develop or enhance models
• Understanding of classical data science and machine learning techniques and challenges

Nice to have

• Understanding of Supply Chain processes to facilitate DS and ML engineering tasks
• Expertise in genAI and/or Gооgle Cloud Platform (GCP) Vertex AI
• Previous experience with mathematical optimization solvers (for ex. Gurobi)

We offer

• We gather like-minded people:
  • Engineering community of industry professionals
  • Friendly team and enjoyable working environment
  • Flexible schedule and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Relocation within our 50+ offices
• We provide growth opportunities:
  • Outstanding career roadmap
  • Leadership development, career advising, soft skills, and well-being programs
  • Certification (GCP, Azure, AWS)
  • Unlimited access to LinkedIn Learning, Get Abstract, O’Reilly, Cloud Guru
  • Language classes in English and Polish for foreigners
• We cover it all:
  • Stable income (Employment Contract or B2B)
  • Participation in the Employee Stock Purchase Plan
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
  • Referral bonuses
  • Corporate, social and well-being events
• Please, note:
  • The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview
  • We will reach out to selected candidates exclusively