We are a small team in a big company, mainly adopting agile methodology. We provide Data Science solutions for internal customers inside Deutsche Telekom and our skills and solutions are continually in high demand. Therefore, we want to increase the size of our team with additional technical people that know how to process and analyze data so we can serve and satisfy needs of even more customers.
We are looking for somebody who can work independently, create working solutions quickly, and creatively come up with new ideas, but also knows how to use and where to look for existing solutions. Our project members are also situated in Germany, Slovakia or Romania so video conferencing is the daily standard.
Your main accountabilities:
- 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 prepare model 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 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
To be successful in this role, you should have:
- Education in the IT field would be beneficial
- Fluent written and spoken English, and German skills would be an advantage
- More than 4 years of working experience with Data Science projects, preferably with Time Series forecasting
- Profound expertise in time series modeling, capable of instructing and mentoring fellow data scientists
- You can write clean, comprehensible, and efficient Python code and are an expert in developing machine-learning solutions in Python. Also, you're familiar with OOP principles, PEP8 guidelines, testing methodologies, and API integrations. You are aware of and willing to apply Agile methodology (Scrum, Kanban, etc.)
- The IT area sounds good to you, but business process management 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
What will you gain:
We want you to know that we value our employees and want to provide you with more than just a job. As a valued member of our team, you will receive a range of benefits that include:
- An annual financial bonus
- An extra week of holiday (25 days/year), Up to 5 My days, and 1 day off for volunteering
- Additional paid time offs for married couples/registered partnerships, parents on the first day of school, extended paternity leave, and time-offs for foreigners dealing with state office matters
- Flexible working hours and the possibility to work remotely
- Pension plan contribution
- Free refreshments (water, coffee, tea, milk, and fruits available in the office)
- Company Shares
- Alza Discounts
- Company mobile phone and laptop
- Meal vouchers in the amount of 160 CZK per working day
- A variety of Benefits (Cafeteria Plan, Multisport Card, Makro Card)
- A family program with T-Mobile (discounts for employee’s family members and friends)
- Training and qualification opportunities (access to the internal learning HUB)
- Personal development opportunities (career path, job rotation, Bring your own Project)
- Involvement in various activities supporting charity organizations (Flea markets, volunteering days, food collections)
- A relocation package for candidates coming from abroad
- Opportunities for relaxation and wellness activities (massage chair, PlayStation 5, etc.)
- Fun team events such as brunches, Health Day, and summer and holiday parties!
At our company, we believe in creating a positive work environment that values our employees' well-being and development. If you are excited about this opportunity and want to be part of a dynamic team that cares about its employees, send us your CV in English and join us t
today!
As a part of Deutsche Telekom Group, we ensure not only work-life balance and international career opportunities but also personal development opportunities. We support all individuals in their performance, development, and growth. We offer a variety of trainings, qualifications, and e-learning activities to actively support the rising of common expertise.
At Deutsche Telekom Services Europe Czech Republic, we are proud to be an equal-opportunity workplace and employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. We welcome applicants from all backgrounds and strive to create a workplace that is supportive, empowering, and inclusive.
