Senior Data Scientist (Fokus Business Analytics)
Job at a glance
Role Overview We are looking for a Senior Data Scientist to lead challenging data science projects with a clear business focus in an interdisciplinary team. The ideal candidate will have at least 3 years of experience in data science and AI engineering, preferably in consulting, IT services, or other customer-oriented roles. What You Will Do Design and lead data science projects, develop and implement effective data-driven solutions, communicate results to customers, and accompany the implementation of ideas with the data engineering team.
Why It Might Be a Fit The ideal candidate will have a strong quantitative focus, experience with cloud technologies and data platforms, and expertise in common analytics toolboxes. They will also have fun with project-related work, be customer-oriented, and have strong communication and presentation skills. Requirements Completed studies in business informatics, economics, mathematics, chemistry, physics, statistics, or a comparable course with a strong quantitative focus.
At least 3 years of full-time professional experience in the field of data science and AI engineering, preferably in consulting, IT services, or other customer-oriented roles. Verifiable successes in the field of business analytics, especially in the conception, development, and operation of data use cases. Good analytical and conceptual thinking, a deep understanding of data modeling and analysis, and knowledge of software development.
Expertise in common analytics toolboxes, especially the programming language Python (and relevant libraries), visualization solutions (such as Tableau/Power BI), and databases and big data technologies. Experience with cloud technologies (AWS, Azure, DBX) and data platforms (Snowflake, MS Fabric, DBX). Branch-specific knowledge for retail and consumer is an advantage. Fluent German and English skills in writing and speaking are required.
Benefits Work-life balance. Trust-based working hours with flexible working hours, hybrid working model, workation – use the opportunity to work from the EU abroad. Culture & collaboration: Unique team atmosphere, flat hierarchies to our CEO Alex, open feedback culture, annual team workshops on our Data.Castle in the Zillertal, lived Data.Musketeer principle – ‘one for all, all for one!’, our @Buddy program for better networking, regular professional and leisure events, dog-friendly offices.
Professional & personal development: Intensive onboarding & training process, personal development plan, and individual opportunities for further education, diverse workshop and training offer within the Data.Academy through our experienced Data.Musketeers and external providers, leadership, project leader, and expert career path. Remuneration & benefits: Kindergarten allowance, occupational pension with 20% subsidy, numerous corporate benefits & employee offers (e.g., for events and travel), start-up allowance in our internal merchandise shop, competitive salary with variable components.
Health & well-being: Mental health & well-being support, coaching, and meditation through nilo.health, fitness and yoga rooms in the Munich office, regular employee surveys, EGYM Well Pass membership with Plus1 option, bike leasing after the probationary period, internal groups for sports activities, free hot and cold drinks, and fresh fruit in the office, rooftop terrace (grill). Mobility: Subsidy for the Deutschlandticket, central location of the offices, good connection to public transportation, possibility of working from other locations.
Tagged as: Data Analysis , Power BI , Python , Snowflake , Tableau