[CMI] Data Scientist

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Hiring Remotely in Kraków, Małopolskie, POL
In-Office or Remote
Software
The Role
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 are looking for a talented Data Scientist to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential.

You will own the creation of decision‑grade intelligence products by applying advanced analytics and statistics to transform complex multi‑source data into trusted, monetizable customer offerings.

 

Position – how you’ll contribute

Analytics & Modelling

  • Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains
  • Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust
  • Develop domain‑specific metrics, benchmarks, and risk scoring frameworks 

Product & Commercial Responsibilities

  • Translate customer problems and market needs into analytical solutions and data products
  • Partner with Product Managers to define value propositions, pricing inputs, and success metrics
  • Contribute to roadmap prioritisation based on impact, feasibility, and monetisation potential 

Data Quality, Governance & Ethics

  • Define data quality rules, validation logic, and anomaly detection mechanisms
  • Ensure alignment with privacy, consent, and ethical AI standards in regulated environments
  • Support lineage, explainability, and auditability of analytical outputs 

Collaboration & Delivery

  • Work closely with Data Engineers to ensure model‑ready, reliable data pipelines
  • Collaborate with Machine Learning Engineers to operationalise models at scale
  • Communicate insights and recommendations clearly to technical and non‑technical stakeholders 

Qualifications

 

Expectations – the experience you need

  • 7 - 8+ years' experience in applied data science roles
  • Strong proficiency in Python, SQL, and ML libraries
  • Ability to translate data into presentable stories
  • Experience delivering customer‑facing, revenue‑generating data products
  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field

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

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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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