Group Data Scientist
Nabízím práci
Dr.Max
Na Florenci 2116/15, Praha
Nabízím práci
Dnes
O pozici
Pracovní nabídka
What will be your responsibilities?
- Design, develop, and deploy data-driven features that enhance the customer omnichannel journey, improve personalization, and optimize the overall digital and retail experience
- Build solutions AI-first — use coding agents and LLMs as a standard part of the development workflow to prototype faster, generate and review code, and shorten the path from idea to production
- Apply LLMs inside analytical products themselves: automated insight generation, product and content tagging, recommendation and personalization logic
- Visualize results that clearly communicates findings to stakeholders at all levels
- Work with the latest technology stack: Azure, Databricks, PySpark, and latest AI tooling
- Keep humans in the loop — validate model and agent output, and uphold data governance standards
- Make a tangible impact on the shopping experience of millions of customers
What do we expect from you?
- Enthusiastic Data Scientist willing to support largest pharmacy retailer on its data-driven strategy
- Previous relevant experience in a similar position is more than welcome
- Being familiar with some of these technologies: Azure, Databricks, PySpark, SQL, Power BI etc.
- Ability to work independently and keep timelines
- Ability to manage complexity, attention to details
- Fluent Czech/Slovak and advanced level of English
What do we offer?
- Working for the largest pharma retail company in Europe with great expansion plans
- A company with a meaningful purpose, an outstanding customer value proposition within an industry offering a resilient, non-cyclical growth pattern
- Global-level job within group headquarters with a group-wide impact
- Space for professional growth within a growing organization
- Attractive financial compensation (salary and yearly bonus)
- Flexible working hours, possibility of 1 day/week home office
- 5 weeks of holidays, discount in Dr. Max pharmacies, meal allowance, Multisport card fully covered by employer, public transport contribution, sabbatical leave, pension insurance contribution, referral bonus etc.