Data Science Engineer

You will be responsible for:

• Design, build, and deploy end-to-end machine learning models (with focus on graph algorithms and Graph Neural Networks),

• Perform data analysis on large-scale datasets to identify critical patterns, trends, and insights,

• Leverage graph analytics to optimize supply chain network,

• Translate complex business problems into well-defined data science projects, selecting the right tools, methodologies, and data to deliver effective and scalable solutions,

• Code review and identification of areas of improvements,

• Collaborate with other roles (managers, data engineers, DevOps, etc.) through the whole life cycle of a project,

• Develop and maintain APIs and microservices for AI integration with other systems,

• Work with customer to gather insights and propose AI solutions based on the collected information,

• Propose solutions for customers and work with them to finalize the design,

• Stay up-to-date with the latest advancements in AI/ML technologies

  
  

What you will need:

• 5+ years of commercial experience in a data science role, with a proven track record of delivering impactful machine learning solutions

• Experience and fluency in Python development ecosystem,

• Knowledge of clean code principles will be a bonus,

• Experience with creating and finetuning ML models (predictive analytics, deep learning neural networks),

• Expertise in using modern ML frameworks such as PyTorch or TensorFlow, along with libraries like Scikit-learn,

• Hands-on experience with graph databases (e.g., Neo4j) and implementation of Graph Neural Networks (GNNs) (especially in Supply Chain) is a warmly welcome bonus

• Knowledge of distributed data processing technologies (e.g., Spark, Kafka) and experience working with cloud environments (AWS, Azure, or GCP),

• Good problem-solving and analytical skills,

• Attitude to think from customer (business) perspective for problem solving,

• Strong communication and presentation skills,

• Ability to manage priorities, mentor junior team members, and align implementation with overarching business objectives

• Very good knowledge of English (both spoken and written)​

  
  

What we offer:

• The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies.

• A supportive and collaborative work environment that fosters professional growth.

• Competitive remuneration and various bonuses, such as access to private medical care (Medicover or Luxmed) and sport (Multisport) cards, reimbursement for English classes, access to the Employee Capital Plan (PPK) and budget for professional development

• We mostly work remotely, but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions

• Non-work-related activities galore! We have a running team (with a pro coach), yoga classes, internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program. 

• Company culture rooted in respect and cooperation, not competition. You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.