[GBL] Product Data Scientist - 6-month project job opportunity at Software Mind.



Date2026-04-30T14:42:03.387Z bot
Software Mind [GBL] Product Data Scientist - 6-month project
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Kraków, Lesser Poland Voivodeship, Poland
loacation Kraków, Lesser..........Poland
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Job Description Project – the aim you’ll haveWe’re looking for experienced Product Data Scientists to join our Data team in an exciting growth phase to help shape how we do things as we continue to evolve. You'll be embedded as the analytical backbone of your pillar, acting as a strategic consultant to product, engineering, and commercial teams. That means blending rigorous statistical thinking with sharp commercial judgement, knowing when to run a full experiment and when a well-reasoned analysis is enough to move fast. You'll use AI tools and automation intelligently to work at pace, scale your output, and focus your energy where human judgement matters most.Position – how you’ll contributeFrom hypothesis to recommendation, you drive the full analytical lifecycle in your pillar. You define the right metrics, build the right models and make sure your insights land, not just in a deck, but in decisionsWork shoulder-to-shoulder with Product Managers, Engineers, and Senior Leaders to shape strategy. You'll translate ambiguous business problems into clear analytical tasks and bring a point of view, not just a chartLead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iterationCreate self-serve dashboards and data tools that empower your teams to answer their own questions. Define and standardise metrics so everyone's working from the same source of truthUse AI-assisted workflows, from code generation to automated reporting, to accelerate your output and spend more time on the high-value analytical problems that require your expertiseDocument your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team 

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