Data Scientist (m/w/x) in Zurich, Basel or Berlin

Bring! Labs AG; Basel; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

A dynamic data analytics firm is seeking a Data Scientist based in Basel to create algorithms and conduct statistical analyses. The ideal candidate has substantial experience in Data Science, expertise in Python and SQL, and is familiar with cloud platforms. The role offers flexibility with working hours, collaboration in a professional environment, and unique perks such as a birthday off and generous vacation. Join us to shape the future of shopping analytics!

Leistungen

Flexible working hours

25 days of vacation

Discounted public transport pass

Home office subsidies

Qualifikationen

• Substantial experience in Data Science and Machine Learning.
• Solid understanding of statistical concepts practical applications.
• Hands-on experience with Python and excellent command of SQL.

Aufgaben

• Analyze and organize raw data from mobile applications.
• Perform extensive statistical analysis for A/B testing.
• Build Machine Learning models for predictive features.

Kenntnisse

Data Science

Machine Learning

Statistical Analysis

Python

SQL

Cloud Platforms AWS

Tools

Databricks

Snowflake

Spark

Jobbeschreibung

We build the perfect shopping companions!

We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.

About this role

Our data team uses various methods to transform raw data into relevant insights. In this role, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.

The role includes the following:

• 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

Requirements

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.

You are the right fit if you have:

• 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.