Marketing Data Scientist (m/f)

Odmeňovanie

1 600 - 2 080 EUR/month The advertised amount represents the starting salary range. The final salary will be determined based on the candidate’s experience, skills, and qualifications and confirmed during the interview process.

Pracovné miesto

Job with occasional home office

Vaša rola

Role Responsibilities:

• Model Management & Delivery: Prepare and maintain Marketing Mix Models (MMM) and related analyses, ensuring the quality, accuracy, and timely delivery of models, data, and analyses to stakeholders
• Data Curation & Validation: Collect, structure, and validate data from various internal and external sources (media, sales, pricing, promotions, etc.)
• Insight Generation & Strategy: Develop insights and recommendations to support marketing investment optimization and broader business decision-making
• Cross-functional Collaboration: Collaborate with stakeholders and cross-functional teams to interpret results and present findings in a clear and actionable way
• Continuous Improvement: Drive the continuous improvement of modeling methodologies, data quality, and analytical workflows

What You'll Be Working On

• Develop and maintain statistical Marketing Mix Models (MMM) in Python using the Google Meridian library
• Analyze the impact of Henkel's marketing activities (TV, digital, promotions, pricing, etc.) on sales performance across selected markets
• Translate analytical results into actionable business insights and recommendations to optimize marketing budget allocation and improve marketing effectiveness
• Collaborate with international marketing and business stakeholders to support data-driven decision-making and help maximize the return on marketing investments

Vaše zručnosti

• University or College degree in Statistics, Econometrics, Data Science, Marketing Analytics, Computer Science or a related quantitative field
• Advanced knowledge of Python, knowledge of at least some of these modules is a plus: Pandas, MatPlotLib, PyMC, Meridian
• Advanced knowledge of MS Excel
• Active level of English (spoken and written) – communication with stakeholders on a daily basis
• Organized, detail-oriented, and analytical thinker with a structured approach to problem-solving
• Knowledge of statistical methods, regression analysis, and interpretation of analytical results
• Solid communication and interpersonal skills, with the ability to work effectively in a team