Data Scientist Marketing

Diverse CG Sp. z o.o. Sp.k. REMOTE WARSAW 2026-10-06

Requirements:

Proven experience (3+ years) in data science or advanced analytics roles in marketing
Proficiency in using data visualisation tools to communicate findings
Strong programming skills in languages such as Python (preferred) or R
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
Experience working in cross-functional teams and collaborative environments
Experience of applying version control in GitHub and of collaborating with others on codebases
Strong problem-solving and critical thinking skills
Written and verbal proficiency in English is required

Nice to have:

Experience in a commercial, or education technology environment
Familiarity with cloud platforms such as AWS, Azure, or GCP
Experience with modern data engineering tools and frameworks
Knowledge of Agile methodologies and product development lifecycles
Publications, conference presentations, or contributions to the data science community
Experience of working with ML or AI Engineers

Job description

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Data Scientist (Marketing)

Offer:

Constant support of dedicated consultant
Employee referral program

,[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 recommendations 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: Machine learning, Machine Learning, Data science, Python, R, GitHub, Cloud platform, AWS, Azure, GCP, Product development, AI Additionally: Employee referral bonus.