Key Responsibilities
- You take the end-to-end responsibility for strategically aligned data science projects, from taking stock of requirements and advising through to go-live
- You will be applying machine learning approaches like analyzing and visualizing data in Python to provide business insights for internal customers of the Deutsche Telekom group
- You will be responsible for selecting the right modelling approaches and advising the Data Scientist teams on the methodologies to apply
- You will prepare training & evaluation pipelines and apply state of the art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others
- You are responsible for teaching Data Scientist teams and preparing adequate training materials
- We create data-driven business solutions for our customers. You will be the one creating them and possibly deploying them to production, teaching your customers how to use them, and providing support/maintenance
- You will be responsible for the technical part in your projects designing & implementing prototypes of innovative applications in Python – our usual projects are in the areas of Time Series, NLP, Classification, Visualization
- You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
- You will participate in team brainstorming sessions, code reviews, and pair programming sessions
- Depending on the use case, you will have the opportunity to work with a variety of tools and technologies like SAP, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask or Tesseract and BI dashboarding tools like MicroStrategy, Qlik, Tableau, … knowledge of these is helpful
- You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome
Competence Profile
- More than 5 years of working experience with Data Science projects, preferably with Time Series forecasting
- Additionally, you have been leading and advising Data Science teams
- Proven track record of teaching Data Science skills in organizations or academia
- Profound expertise in time series modeling, capable of instructing data scientists
- You are good at coding and model development in Python
- We work with Jupyter Notebook, SAP and SAP HANA studio, experience with these tools is more than welcome but not necessary
- You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban, etc.)
- IT area sounds good to you, but business process management is something that seems to be interesting too (Financial Controlling, Procurement, Human Resources)
- You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you
- You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically
- You can develop working solutions quickly and you get things done
- Language: Fluent written and spoken English, German skills would be an advantage
- Education in the IT field would be beneficial
Interpersonal Skills
- Proactivity towards customer service is essential.
- Flexible and responsive to changing work patterns and demands
- A thorough and methodical approach to work
- Highly developed skills in interpersonal communication
- Knowledge sharing – active contributor.