Lead Data Scientist (f/m/d) AI and Forecasting

BMG

Founded in 2008, BMG has revolutionized the music industry by prioritizing fairer contracts and creative freedom. As the fourth-largest music company globally, BMG combines artistic creativity with technology to connect music and audiences worldwide. The Global Data Analytics (GDA) unit at BMG unites data professionals across various markets to enhance business growth and efficiency through data-driven decisions.

In this role you can expect to have the responsibilities:

• Design AI and ML models for marketing ROI, investments, artist scouting, and market trends.
• Conduct exploratory data analysis, feature engineering, and model evaluation.
• Develop statistical and ML models for insights extraction from large datasets.
• Partner with engineers to deploy and integrate predictive models.
• Lead AI initiatives with strategic business impacts.
• Collaborate with cross-functional teams to achieve business goals through data solutions.

This role comes with the following benefits:

• Modern office in Berlin and flexible remote work options
• Benefits including free BVG job ticket, Urban Sports membership, and more
• Continuous training opportunities on BMG Campus and Bertelsmann University
• Long-term career prospects
• Collaborative work environment with a supportive community

This role requires you to have:

• Bachelor’s or master’s degree in Mathematics, Computer Science, Statistics, Data Science / AI, or related field
• Proficiency in Python and SQL
• Experience in deploying AI models and creating commercially beneficial solutions
• Experience with data pipelines in cloud (e.g., GCP)
• Strong problem-solving skills
• Excellent communication skills

You would benefit from having:

• Experience with music industry
• Familiarity with tech stack (dbt, git, Airflow, GCP BigQuery, Looker)

BMG is committed to equal employment opportunities and values diversity. The company promotes an inclusive environment and provides equal treatment for all applicants, regardless of personal attributes.