Main responsibilities

• Ability to map a business question into analytical context outlining the choice of methods and analytical subsets of data
• Pre-processing of structured and unstructured data including cleansing, and validating the quality and integrity of data in the analytical context
• Enhancing data collection procedures to include all relevant information for developing analytic products. Ability to fuse multiple datasets in a given context
• Implement appropriate statistical, machine learning and/or deep learning methods for appropriate business questions and relevant datasets
• Develop and deploy data science products in the cloud or on-prem infrastructure
• Communicate and collaborate with other parts of the company and ensure that best practices are used for designing and documenting solutions

Required qualifications

• University degree in a quantitative discipline (e.g., but not limited to – Mathematics, Computer Science, Data Science, Natural Sciences, etc.) or equivalent work experience
• Ability to write high quality data science code in Python. Proven track record and knowledge of best practices and standards in coding, familiarity with Python-based data processing and analysis libraries
• Well versed with visualizing the insights in dashboards or similar solutions either off-the-shelf or Python-based frameworks
• Significant experience in developing end-to-end Data Science software solutions
• Experience with state-of-the-art data science and ML practices along with advanced knowledge of and experience with Python-based ML and DL libraries (particularly for ML) as well as version control (e.g. git and GitHub)
• Experience in developing scalable ML-based production systems in the cloud using multiple platforms such as Databricks and Azure
• Independent way of working, self-confident appearance at times on management level
• Fluent in English (written and verbal)

Required skills
state-of-the-art data science
Data Science
Azure
Databricks
Github
Git
Python-based ML