Data Science Analyst (m/f/d) - Hybrid Option GER

Key Skills

Java Programming, Python Programming, Database, SQL, PowerBI, Machine learning techniques, Data science techniques, Business Intelligence, Tableau, R Programming, Large scale data processing, Julia

Job Description

Within our unit Agricultural Solutions Expert Services you will help enhancing the global supply chain performance of BASF's Agricultural Solutions segment.

• You take care of the development and deployment of digital solutions to increase the transparency on our supply chains.
• You are responsible for extending our data with additional sources of information when needed and enhancing data collection procedures by data mining, using state-of-the-art methods.
• Moreover, you process, cleanse as well as verify the integrity of data, do ad-hoc analysis and present the results in a clear manner.
• In your daily work you create automated analyses, dashboards and reports and detect outliers as well as anomalies in the data.

QUALIFICATIONS

• degree in Informatics, Business Informatics, Business Administration, Engineering or related quantitative fields
• experience in developing analytics dashboards by using business intelligence tools such as Tableau or Power BI
• ability to work on large-scale databases by extracting, manipulating and joining complex data sets via SQL
• programming expertise (Python, R, Julia or comparable) and first touchpoints in Supply Chain or Operations Management
• solid understanding of machine learning and data science techniques as well as their application to real world business problems
• excellent communication skills in German and English and ability to engage in cross-functional collaboration

BENEFITS

• Onboarding to help you settle in quickly, ensuring you are part of the BASF team from day one.
• 30 days of paid vacation, special leave and sabbatical options.
• Flexible working hours so that you can organize your working and private life according to your needs.
• Location-independent work models with defined days of presence in Berlin and place of residence in Germany.