DCGActive opening

Data Scientist (Marketing)

Remote (Poland)Found today
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Responsibilities:

  • Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges

  • Collaborate with data engineers to build scalable data pipelines for modelling and reporting

  • Translate business requirements into data science problems with defined success metrics

  • Prepare, clean, and manipulate large datasets for analysis and modelling

  • Communicate results and r_ecom_mendations clearly to diverse stakeholders, including non-technical audiences

  • Work with product teams to integrate data science solutions into operational workflows

  • Ensure all models and analyses comply with data ethics and privacy standards

  • Lead experiments to test hypotheses and improve product or service performance

  • Build capability across teams by mentoring colleagues and sharing best practices

  • Contribute to the data science community and represent the organisation externally where appropriate

Requirements:

  • Proven experience (3+ years) in data science or advanced analytics roles in marketing

  • Strong programming skills in languages such as Python (preferred) or R

  • Proficiency in using data visualisation tools to communicate findings

  • Experience with machine learning techniques and statistical modelling

  • Experience working with large, complex datasets

  • Ability to explain complex technical concepts to non-technical audiences

  • Understanding of data ethics, privacy, and governance principles

  • Strong problem-solving and critical thinking skills

  • Experience working in cross-functional teams and collaborative environments

  • Experience of applying version control in GitHub and of collaborating with others on codebases

  • Written and verbal proficiency in English is required

Nice to have:

  • Familiarity with cloud platforms such as AWS, Azure, or GCP

  • Experience in a commercial, or education technology environment

  • Experience with modern data engineering tools and frameworks

  • Publications, conference presentations, or contributions to the data science community

  • Knowledge of Agile methodologies and product development lifecycles

  • Experience of working with ML or AI Engineers

Offer:

  • Constant support of dedicated consultant

  • Employee referral program

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DCGData Scientist (Marketing)
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