Data Scientist

• Execute data science projects from conception to deployment, ensuring alignment with business objectives.
• Analyzing, assessing and evaluation data structure and processes, developing viable and effective data models.
• Develop and implement statistical models and machine learning algorithms to solve business problems.
• Analyze large, complex datasets to extract actionable insights and identify trends and patterns.
• Participate in the data extraction, transformation, and loading (ETL) processes to ensure data quality and integrity.
• Assuming E2E responsibility for data science projects, from taking stock of requirements and advising through to go-live
• Applying data transformation techniques: for example, handling data enrichment, blending and expansion, filtering and consolidation in the task area
• Collaborate with cross-functional teams to integrate data science solutions into business processes and enhance decision-making.
• Being involved in the development of specific assessment and steering tools for various data sources to provide the data records required.
• Communicate findings and recommendations to stakeholders through clear and compelling visualizations and reports.
• Preparing cost cases and being involved in the techno-economic evaluations
• Mentor and provide guidance to junior data scientists and analysts, fostering a culture of learning and growth.
• Stay updated on the latest data science techniques and industry trends to continuously improve methodologies and tools.

Education: University degree (Bachelor or Master) in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

• 3+ years of experience in IT or in data engineering, with a focus on ETL processes and data integration.
• Proven experience as a data scientist, with a track record of successful projects and implementations.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with cloud platform (e.g., AWS, Azure, Google Cloud) and/or big data technologies (e.g., Hadoop, Spark).
• Familiarity with ERP systems (e.g., SAP, Oracle) and their data structures. 

IT skills:
Experience with some IT management tool (JIRA, CAPE, JIRA@BR)

• Other requirements:
• Strong communication and moderation skills
• Technology understanding
• Proactive, high reliability, self-organized and solution-oriented working 
  
• Ability to understand end to end business process
• Ability to understand end to end business process
• Corporate attitude and strong service behavior
• Cross-functional collaboration

• 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