Senior Data Scientist

at  Contiamo

ABOUT US

Contiamo is a premier consulting firm that brings together an interdisciplinary team of senior experts in data science, data engineering, mathematics, business consulting, and change management. Our extensive experience allows us to deliver high-quality data solutions, seamlessly integrating deep business know-how.
We collaborate with industry leaders such as Mercedes Benz, CBRE, and Deutsche Telekom to tackle their most pressing business challenges with technology. As a trusted partner, we pride ourselves on delivering scalable cloud applications and leveraging open-source tools to find elegant solutions to complex problems.
At Contiamo, our culture thrives on fast iterations and a high-trust environment where everyone is given significant responsibility. We believe in the power of a supportive atmosphere, valuing both individual contributions and the joy of teamwork.

In the last years, Generative AI has become a core focus for us and we have delivered many high value projects using cutting edge developments for our customers. Besides Gen AI, our projects span a wide range of exciting data use cases, including:

• Advanced Data Science and Machine Learning
• Data and AI Strategy
• Data Architecture and Cloud Data Warehouse Setup
• Building Data-intensive Applications and Algorithms

KEY RESPONSIBILITIES

• Design and Build: Develop client-oriented, data-intensive ML solutions and robust data pipelines.
• Ownership: Identify essential requirements and priorities, balancing project limitations and success, and thoroughly document projects and processes.
• Collaboration: Work closely with data engineers to deploy our ML-based applications, ensuring seamless integration and performance.
• Project Management: Collaborate with project management leads and engage with clients, effectively communicating with both technical and non-technical audiences.

WHAT YOU’LL DO

• Analyse and Understand: Explore varied data landscapes in search for relevant insights and meaningful relations.
• Build and Test Models: Propose state-of-the-art and/or innovative ML approaches, establish testing and evaluation frameworks, and obtain clear and interpretable results.
• Productionize: Develop and maintain projects as they mature into an application. Establish monitoring, pipelining, and packaging of the software.
• Present and Interpret: Present the results to both technical and non-technical stakeholders, answer their questions and address possible doubts.