Job Summary

We are looking for the candidate who has good hands-on experience in Data Science.

Key Responsibilities

What you’ll need to Have. • Take part in developing and implementing complex smart data solutions. • Work on bleeding-edge projects with a chance to see your visions come to life. • Collaborate with world-class IT professionals. • Work on projects addressing real business challenges in a global and diverse team. • Have real impact on the projects and environment you work in. • Propose innovative solutions and initiatives. Moreover, if you like: • Flexible working hours and a casual, non-corporate environment. • Access to benefits such as Multisport, private medical care, and a modern office in the center of Warsaw with good transport links. • Remote work options as much as you prefer. • A relaxed atmosphere at work where your passion and commitment are appreciated. • Vast opportunities for self-development through online courses, certifications, and global knowledge-sharing. Then this role is certainly a good match! Your Responsibilities: • Understanding business problems and designing smart data products. • Developing complex models and algorithms to drive innovation within the organization. • Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance. • Collaborating with data engineers to implement and deploy scalable solutions. • Working closely with business teams to clarify ambiguous projects into concrete requirements. • Designing and implementing time-series forecasting, anomaly detection, and demand-sensing solutions for business domains such as sales, marketing, pricing, supply chain, and logistics. • Partnering with software and full-stack engineering teams to expose models through APIs, dashboards, and scalable user-facing applications that support day-to-day business decisions. We Expect: • MS or PhD in Computer Science, Statistics, Mathematics, Artificial Intelligence, Physics, or a related technical discipline. • At least 5 years of experience in a statistical and/or data science role. • Expertise in Python (experience with languages like R, MATLAB, Scala is a plus). • 2+ years of hands-on Python ML Production experience (not just POC), with proficiency in deploying models to real-world systems. • 3+ years of professional experience as a Data Scientist, with a focus on applying machine learning models to business problems. • Strong software engineering skills, including unit testing, object-oriented programming, and familiarity with best practices like PEP8 and tools like Black. • Familiarity with Azure Machine Learning (1+ year of experience) and building cloud-based ML solutions. • Experience in Bayesian modeling (1+ year) and the application of probabilistic models. • Fluency in the NumFOCUS stack: pandas, scikit-learn, Matplotlib, and SciPy. • Experience working with large datasets using tools like Spark and RDBMs. • Experience with version control systems (e.g., Git) and knowledge of DevOps tools (Docker, Kubernetes, CI/CD pipelines). • Proven ability to deploy models to production and plan products, considering the broader technical landscape. • Professional attitude and service orientation. • Team player with the ability to work autonomously on complex projects.

Skill Requirements

Other Requirements