Principal Data Scientist for Time Series Forecasting Bratislava

We work in a HYBRID STYLE of working with an unlimited home office, but twice a week we meet in the office (Bratislava or Košice) for meetings.

Key Responsibilities
• You take the end-to-end responsibility for strategically aligned data science projects, from taking stock of requirements and advising through to putting the solution into production
• You will be applying machine learning approaches 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 upskilling Data Scientist teams and preparing adequate training materials
• You will be driving innovation by staying up to date with the latest advancements in time series research (e.g., forecasting, clustering, anomaly detection) and identifying their potential applications within our products and projects
• 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 time series projects designing & implementing prototypes of innovative applications in Python
• 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 such as Docker, Kubernetes, FastAPI, Redis, Celery and ML frameworks like SKTime, Scikit-learn, Nixtla, Tensorflow or other relevant libraries.
• You will have the chance to identify use cases for automation and application of data science

The published salary is the minimum possible offer. The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).

Education:

• Education in the IT field would be beneficial

Language skills:

• English - Advanced (C1)

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 and mentoring fellow data scientists
• You are able to write clean, comprehensive, and efficient Python code and are an expert in developing machine learning solutions in Python. Additionally, you are familiar with OOP principles, PEP8 guidelines, testing methodologies and API integrations You are aware of and willing to apply Agile methodology (Scrum, Kanban, etc.)
• IT area sounds good to you, but business process management is something that is interesting to you, 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.

• Annual bonus
• Fully paid meal vouchers
• Phone also for private use
• Notebook
• Discounts for selected Telekom products
• Supplementary pension saving contribution
• Cafeteria system of benefits/Multisport card
• Sick days
• Sports club & Health days
• Teambuildings, summer & Christmas party
• Opportunities for career growth
• Referral program
• Flexible working time