Our customer is a successful e-commerce company with one of the biggest names in the industry. It has maintained a startup character, although the company's history goes back almost 100 years and now almost 2,000 employees from 70 nations work alongside. 

In addition to a positive, inspiring and open corporate culture, the company located in the east of Munich stands for innovation and quality.

Your Tasks:

• Lead projects from initial business contact over defining requirements and goals, data preparation and analysis, model development and deployment to the use of the results
• Answer business questions with advanced analysis to gain insights and propose actions
• Choose, develop, validate, and deploy machine learning models to improve processes and products
• Drive innovation by getting to know business and recommend data science solutions to improve it

Your Profile:

• Good knowledge of SQL and very good knowledge of Python
• Data science fundamentals (models, data structures, visualization)
• Knowledge in software development and its tools (Git, Docker, Azure/AWS)
• Problem solving and analytical skills
• Good English communication skills

The Offer:

• Flexible working hours and 30 days of paid vacation
• Attractive salary package
• State-of-the-art IT equipment and tools
• Appreciative and open corporate culture with great team spirit
• Thorough induction phase by “mentors”
• Development and training opportunities
• Employer-funded pension
• Attractive employee discounts
• Company health management (company membership in premium fitness studios, massage at work and much more)
• Company events and joint sports activities
• Good public transport connection and free parking spaces
• Free drinks, fresh fruit and discounted meals

Have I piqued your interest? I look forward to hearing from you. You are welcome to apply directly for the position using the attached link, or you can send me your application documents to: l.hartung@colemanfox.de. If you have any questions, please call +49 (0) 162 2693696.

Best regards,

Lissa