الوصف الوظيفي
Hello Talented Techie!
We provide support in Project Services and Transformation, Digital Solutions and Delivery Management.
We offer joint operations and digitalization services for Global Business Services and work closely alongside the entire Shared Services organization. We make optimal use of the possibilities of new technologies such as Business Process Management (BPM) and Robotics as enablers for efficient and effective implementations around the globe.
We are looking for Sr Data Scientist
· Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution
· Work with large, complex data sets and applying advanced analytical methods as needed
· Develop deployable machine learning solutions that address the real root cause
· Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way
· Be the partner of choice regarding technology advisory for advanced analytics
· Actively and proactively perform market/trend scouting to stay up to date on the state-of-the-art technologies.
You’d describe yourself as:
· Knowledge in advanced data analytics/data science
· Have five years of relevant experience with data science/optimization/statistical models
· Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field
· Understand the mathematics/optimization behind machine learning algorithms
· Skilled in applying algorithmic models and are well acquainted with the properties and limits of a diverse set of established as well as state-of-the-art models, as well as validating the model results against the stated business objectives
· Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments (e.g., SAP, Oracle), cloud infrastructure (e.g., AWS, Azure), as well as familiarity of data architecture requirements and conceptual approaches for deploying algorithmic solutions in Big Data productive environments
· Comfortable working in programming languages like SQL, Python and R, as well as with frameworks like Tensorflow and Keras; experience developing solutions in distributed teams using Version Control tools like GIT
· Experience with cloud technologies: AWS Sagemaker, Lambda etc.
· Stay abreast of new technologies in artificial intelligence and digitalization and seek creative ways of applying emerging and state-of-the-art algorithmic approaches in real world business applications
· Outstanding analytical and conceptual skills and an entrepreneurial mindset
· Experience on collecting business requirements and traduce it into solution designs
