[GBL] Product Data Scientist - 6-month project

Posted Yesterday
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Hiring Remotely in Kraków, Małopolskie, POL
In-Office or Remote
Senior level
Software
The Role
Drive the full analytical lifecycle for a product pillar: define metrics, build models, design and interpret experiments, create self-serve dashboards, embed with product and engineering teams, use AI-assisted workflows, and document insights to inform decisions.
Summary Generated by Built In
Company Description

Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.

Job Description

Project – the aim you’ll have

We’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 contribute

  • From 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 decisions
  • Work 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 chart
  • Lead experimentation across your pillar, designing tests, sizing opportunities, interpreting results, and building a culture of evidence-based iteration
  • Create 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 truth
  • Use 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 expertise
  • Document your work in our Insights Hub, champion consistent data practices, and actively share learnings across the data team

Qualifications

Expectations – the experience you need

  • Extensive experience in an analytical role, ideally within a product-led or digitally native environment
  • Fluency in SQL and at least one scripting language (Python or R); experience with dbt Is essential
  • Hands-on experience with BI tools such as Lightdash, Looker, or Tableau
  • A track record of influencing decisions, you know how to tell a compelling, data-led story to stakeholders at all levels
  • Strong experiment design and statistical reasoning skills, you understand when the numbers are telling you something real
  • Comfort working across teams and managing multiple priorities without losing rigour
  • Genuine curiosity about user behaviour and a drive to understand the why behind the data
  • An openness to integrating AI tools into your workflow and a mindset for continuous improvement

Additional Information

Our offer – professional development, personal growth:

  • Flexible employment and remote work  
  • International projects with leading global clients 
  • International business trips  
  • Non-corporate atmosphere 
  • Language classes 
  • Internal & external training 
  • Private healthcare and insurance  
  • Multisport card 
  • Well-being initiatives 

Position at: Software Mind Poland

Skills Required

  • Extensive experience in an analytical/product-led environment
  • Fluency in SQL
  • Proficiency in at least one scripting language (Python or R)
  • Hands-on experience with dbt
  • Experience with BI tools (Lightdash, Looker, or Tableau)
  • Strong experiment design and statistical reasoning skills
  • Track record of influencing decisions and communicating data-led stories
  • Ability to work cross-functionally and manage multiple priorities
  • Curiosity about user behaviour and product metrics
  • Openness to integrating AI tools into workflow

Software Mind Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.

  • Fair & Transparent Compensation Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
  • Flexible Benefits Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
  • Wellbeing & Lifestyle Benefits Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.

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The Company
HQ: Cracow
1,000 Employees
Year Founded: 1999

What We Do

Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.

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