Computer Scientist for Data Analytics & AI Projects (f/m/d)
Responsibilities: Data Analysis & AI Development: Analyze large datasets and introduce machine learning and AI models Application Design & Architecture: Design and implement applications that support
Responsibilities: Data Analysis & AI Development: Analyze large datasets and introduce machine learning and AI models Application Design & Architecture: Design and implement applications that support AI and data analytics initiatives, ensuring they meet business needs and comply with technical standards.Task Estimation & Management: Estimate development tasks, align with other technical team members, track progress, and ensure timely completion. Collaboration: Work closely with cross-functional teams to understand business challenges in healthcare Reporting & Visualization: Create dashboards and reports to communicate key findings Continuous Improvement: Stay updated on the latest trends in AI, machine learning, and data analytics to ensure that our solutions remain innovative and effective.
Qualifications: Education: University degree (Technical or Business) or equivalent experience in Data Science Experience: 3 years of experience in data analytics and engineer, first experience with machine learning Agile & Collaborative Work : Experience with agile methodologies and familiarity with IT delivery processes Technical Skills : Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, , PyTorch). Experience with data analysis tools (e.g., SQL, Power BI, Fabric) and cloud platforms (e.g.Azure). Project Management: Experience in estimating tasks, assigning team responsibilities, and ensuring smooth execution of technical projects, including release management and continuous improvement.
Communication Skills: Strong communication skills, with the ability to translate technical information to non-technical stakeholders and provide clear project updates. Problem-Solving: Demonstrated ability to analyze complex problems and provide effective, data-driven solutions.Benefits: Flexible working conditions, such as flexible working hours and mobile working International Mobile Working Attractive ways of combining work and family life, e.g. Childcare subsidy 30 days paid leave per year, plus special leave for exceptional life events as well as vacation pay and special annual payment according to collective agreement Company pension plan with attractive employer contribution incl.
Matching model for deferred compensation Plenty of parking spaces, canteen with café bar and ongoing offers in the employee shop Access to over 6000 fitness and yoga studios, swimming pools as well as Crossfit and bouldering halls (EGYM Wellpass) Various health and fitness offers, e.g. Skin cancer screenings, online courses for mental health, massage offers, yoga during lunch break etc.
Job Bike Leasing Attractive discounts on e.g. Travel, fashion and technology via our corporate benefits platform