Role overview
- Analyze and organize raw data from our mobile applications
- Perform extensive statistical analysis for A/B testing
- Evaluate business needs and objectives, ideate solutions
- Interpret trends and patterns, create reports with insights
- Build Machine Learning models for predictive features
- Closely collaborate with the data engineers on the team
What we're looking for
We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Science.
- Solid experience applying Data Science and Machine Learning in scalable, cloud-based data environments
- Strong understanding of statistical concepts and their practical application
- Hands-on experience with Python and excellent command of SQL
- Experience with modern data and analytics platforms such as Databricks or Snowflake
- Good understanding of BI and self-service analytics solutions as well as Data Engineering principles
- Experience working with cloud platforms, preferably AWS (including EMR)
- Familiarity with Java/Scala and Spark is a plus (current platform technologies)
- Curiosity and interest in emerging AI tools, technologies, and best practices
- Fluent English is required; German is a plus
Benefits
At Bring! Labs, we value a professional and open work culture where diverse perspectives and backgrounds are welcome. We offer you an amazing workplace where you can make a direct impact and grow your career. Additionally, we provide:
- A young and rapidly evolving company that empowers employees to make decisions and actively shape our success
- Flexible working hours with the option to work from our offices in Zurich, Basel or Berlin, as well as partially from home
- Social events that bring the team together, including twice-yearly company-wide get-togethers and regular team events, all covered by us!
- Environmentally friendly travel options, including a discounted public transport pass (Halbtax for Switzerland, BahnCard 50 for Germany) for your commute
- Many cool perks, such as 25 days of vacation and a day off on your birthday, top-notch barista-quality coffee, the latest hardware, home office subsidies, and much more!
We welcome applications regardless of nationality, ethnic background, age, sexual orientation, gender, disability, or family situation. We also encourage applications from individuals returning to the workforce.
Tags & focus areas
Used for matching and alerts on DevFound Machine Learning Data Science Data Engineer Ai