Data Scientist (f/m/d)

at  Trakken GmbH

At TRKKN, we are driven by the excitement of taking our client’s data-driven businesses to new heights. As the leading European Google partner and reseller of Google Cloud & Google Marketing Platform, we act as a catalyst for cutting-edge digital marketing solutions. Our team is diverse, international, inspiring, and operates in a fast-growing digital & technological environment. This provides the ideal and dynamic work environment for individuals with a hunger for growth, responsibility, and the desire to shape their future. With Google in close proximity, the learning and development opportunities at TRKKN are limitless.
With over 25 nationalities, 20+ languages, and 240+ Trakkies on board, we’re taking our business global, and our story doesn’t end here!

PREFERRED QUALIFICATIONS:

• Master’s degree in mathematics, statistics, physics, data science, computer science or a comparable educational background
• Professional experience of at least 2 years in analytics, machine learning or AI
• Proficient knowledge of Python and SQL
• Deep knowledge of statistical techniques and machine learning
• Knowledge in technical and methodological aspects of running ML models in production
• Customer-oriented and strong analytical thinking
• Strong storytelling skill and ability to effectively communicate technical concepts to non-technical clients and colleagues
• Fluency in written and spoken English and German

ADDITIONAL SKILLS:

• Experience with Google Analytics and Google Cloud Platform
• Experience in the areas of marketing analytics, marketing intelligence, business intelligence, digital analytics and/or online marketing

As a part of an international team of Data Scientists and Machine Learning experts with diverse backgrounds, you will be responsible for:

• Solving complex business challenges by means of advanced analytics, predictive modeling, machine learning/AI or other statistical modeling
• Developing and deploying minimally viable products
• Consulting clients in the area of data science/ML/AI
• Continuous collaboration with other technical departments such as Cloud Engineers, Solution Architects, etc. to facilitate deployment