Technical Architect

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 Sci Py.
• 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

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Other Requirements

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