Data Scientist

Required working 3 days in the Warsaw office

Altimetrik Poland is a digital enablement company. We deliver bite-size outcomes to enterprises and startups from all industries in an agile way to help them scale and accelerate their businesses. We are unique in Poland's IT market. Our differentiators are an innovation-first approach, a strong focus on core development, and an ability to attack the challenging and complex problems of the biggest companies in the world.

For our client, the global leader in eye care, specializing in developing, manufacturing, and marketing surgical equipment, contact lenses, and vision care products we are seeking a skilled and motivated Data Scientist to join in, bringing expertise in machine learning and data-driven solutions tailored to commercial and retail domains. The ideal candidate will have a strong foundation in Python and SQL, along with hands-on experience delivering end-to-end ML projects within cross-functional teams.

Responsibilities:

• Execute end-to-end machine learning projects, from data exploration and feature engineering to model deployment and monitoring.
• Collaborate with Business Analysts (BAs), Data Engineers (DEs), and DevOps to build scalable and impactful data science solutions.
• Apply a variety of machine learning models and techniques to address commercial problems such as demand forecasting, customer segmentation, targeting, pricing, and promotion optimization.
• Translate business problems into analytical tasks, clearly communicating insights and recommendations to stakeholders.
• Ensure quality, reproducibility, and performance of models in production environments.

And if you possess...

• 3–5 years of hands-on experience in data science or machine learning roles, preferably in commercial or retail domains.
• Strong programming skills in Python and good working knowledge of SQL.
• Proven experience applying a wide range of ML techniques (e.g., regression, classification, clustering, time series forecasting, model evaluation & selection).
• Demonstrated ability to work independently and take ownership of data science projects within a collaborative team structure.
• Strong problem-solving skills, business acumen, and ability to translate data insights into business impact.

🔥We grow fast.

🤓We learn a lot.

🤹We prefer to do things instead of just talking about them.

If you would like to work in an environment that values trust and empowerment... don't hesitate, just apply!