Requirements

Expected technologies

NumPy

SciPy

GIT

Our requirements

• Several years of experience working as a Data Scientist or in a related role
• Master’s degree in Econometrics, Computer Science, Mathematics, Applied Statistics or a related quantitative field
• Spoken and written proficiency in English
• Several years of programming experience in Python
• Experience with or exposure to data analysis tools and libraries such as NumPy, SciPy, scikit-learn, pandas, matplotlib etc.
• Experience with version control systems such as Git
• A keen eye for data properties and how to sense-check them
• Aptitude for problem solving, also when confronted with imperfect data or knowledge
• Strong communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels of the organization
• Demonstrated ability to work with globally dispersed project teams
• Excellent organization, analytical, interpersonal, and influencing skills
• Open to constructive feedback and readiness to adapt
• Familiarity with at least one of the cloud providers (e.g. AWS) is a plus
• Experience with Docker is a plus
• Experience with Airflow is a plus
• Familiarity with the media and marketing industry is a plus
• Familiarity with Bayesian statistics is a plus

Your responsibilities

• Write and review code in collaboration with other team members to process structured and unstructured (client) data using advanced analytical solutions
• Use and fit different mathematical and econometric models for explanatory purposes that lead to better decisions, and translate these model outcomes into actionable insights and business value.
• Create high-quality data visualizations for internal and external purposes
• Present and explain technical solutions or results in a stakeholder-friendly way
• Make key (technical) decisions in a project and take accountability for these decisions
• Communicate and collaborate effectively with others (e.g. other team members, project or tech leads) to discuss complex data-driven and code-related matters