Job Summary:
We are seeking a highly collaborative and experienced Data Scientist to join our team. As a Data Scientist at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally.
You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Key Responsibilities:
* Work on complex and varied data sets from some of the world's largest organizations to solve real-world problems
* Develop high-quality data science products and solutions for clients as well as assets for our internal data teams
* Focus on modeling, working alongside the Data Engineering team
* Presentation of findings, recommendations, and consultation to stakeholders (internal and clients)
What You'll Learn:
* Work across various industries and sectors, gaining insights into diverse business challenges and applications of data science
* Build large-scale data & analytics solutions, handling complex problems and advanced client situations
* Best practices in data & analytics development, including framework, responsibility model, high-quality code, data security, sustainability, and scalability
* Work in collaborative teams with diverse skill sets, fostering effective teamwork and learning from colleagues in a multicultural and creative environment
* Stay up-to-date with the latest advancements in data science tools, techniques, and technologies as well as first-class learning programs
* Develop strong client-facing skills, including effective communication, problem-solving, and presentation abilities
Requirements:
* Degree in maths, statistics, machine learning, data science, physics, computer science, or engineering required
* Master's degree or PhD level in the field of data science, computer science, business informatics, or equivalent is a plus
* Up to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions (e.g., develop machine learning models), in order to solve business problems
* A strong grasp of various analytics landscape, including business intelligence, machine learning, AI, and generative AI, and how to apply them effectively in different scenarios
* Proficiency in Python, SQL (focus on data & analytics applications)
* Professional experience in cloud-based analytical tools from market-leading providers such as AWS, MS Azure, Google Cloud
* Proficient communication skills in German and English
* Effective communication and presentation skills, particularly the ability to explain complex analytical concepts in a comprehensible manner adapted to different groups of non-technical audiences (e.g., business managers, heads of products, sales & marketing leads)
* Practical experience in Generative AI application development
* Proven record of advisory works
* Proven record of leadership in a work setting and/or through extracurricular activities