Required skills
Job description
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 da
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 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
- 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
Offer:
- 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
- Constant support of dedicated consultant
- Employee referral program
Project details
- Start: flexible
- Remote: remote
- Location: Warszawa, -, PL
- Rate: 120-130 EUR/h
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