Senior Data Scientist- Engineer - BA

• Developing general strategic specifications for the provision and identification of data for logical data models and structures.
• Developing assessment and steering tools for various data sources to provide the required data records.
• Developing data models and steering the implementation of the models in collaboration with the business and the data teams.
• Carrying out complex analyses of data from various sources to integrate analysis results into existing solutions and business processes (identifying trends, patterns, predictive models).
• Devising decision-making proposals and recommended courses of actions; presenting and discussing the results at management level.
• Assuming E2E responsibility for strategic data science projects, from taking stock of requirements and advising through to go-live.

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

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: Bachelor’s or Master’s degree in computer science, Information Technology, Engineering, or a comparable qualification 
Expirience: minimum 4 years of professional experience as data analyst / scientist.

Furthermore, you distinguish yourself through the following knowledge and skills:

• Strong understanding of ETL processes and data architecture including data cleansing and validation.
• Excellent programming skills in Python paired with strong hands-on experience with Python libraries for data manipulation, esp. Pandas, NumPy.
• Knowledge of Data Pipeline monitoring tools and approaches.
• Hands-on Experience in working in Hyperscaler environments, esp. Google Cloud Platform.
• Experience in setting up data bases, data lakes, data warehouses, feature stores etc.
• Advanced knowledge in preparation of data set for Machine Learning approaches and models.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong knowledge in UML and data modeling.
• Strong customer-oriented working mode, ideally experience in HR / employee survey domain.
• Self-responsibility and independent working principle, experience in international Scrum teams.
• Excellent writing and communication skills (English).
• You are flexible for business travels.

• Annual bonus
• Fully paid meal vouchers
• Mobile phone also for private use
• 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