Data Science Lead (m/f/d)

Your responsibilities

• Lead the definition of Olympus’ Data Science strategy, processes, technologies, and controls
• Lead the Data Science team and oversee the onboarding of new designs, execution and implementation of advanced data analytics tools and techniques
• Apply a broad array of modelling skills including machine learning, deep learning, other advanced data techniques and traditional statistics to extract insights from structured and unstructured data sources
• Actively participate and be able to manage projects in all stages of model development from data collection, data quality control, model building, model validation, testing and calibration
• Collaborate with business departments in data collection, hypothesis formulation, statistical analysis executions, and interpretation
• Translate business needs into data analytics concepts and vice versa
• Translate data science, artificial intelligence, machine learning and deep learning trends and technologies into execution
• Champion the continuous learning of industry standards and new techniques/ tools to maximize the team’s competitive advantage
• Lead, motivate, develop, and appraise team members so that their individual and collective performance is of the required standard and meets the current and future needs of the business

Your qualification

• Bachelor’s degree or higher in Data Analytics, Computer Science, Statistics, Engineering, Mathematics, IT or other related fields (or equivalent and related experience preferred)
• Several years of experience in data analytics and consulting focused on data analytics, or equivalent academic experience/course record
• Extensive experience in implementing and executing data science initiatives, analysis, machine learning, and other statistical approaches
• Experience in applying and executing deep learning, machine learning, and big data
• Experience in leading a global team at a successful organization
• Experience within the Life Sciences/ MedTech field (desirable to have)
• Several years of experience in managing staff, including work review, performance reviews and day-to-day coaching
• Demonstrable analytical and conceptual thinking as well as detail orientated way of working

Your competencies

The interview will be competence based and the following competencies will be assessed:
• Build for the Future
• Deliver Results
• Lead People
• Lead Self
• Model and champion Our Core Values

Your benefits

• Flexible working hours with up to 60% mobile working
• Light notebooks, modern open space offices
• Employee restaurant with live cooking and healthy food (subsidized)
• HVV Profiticket (100%) or parking space
• Bike leasing
• Employee discounts
• Sport activities and company gym
• Corporate health care and special support (workplace integration management)
• Employee assistance program
• Free medical check-ups and vaccination offers
• Company pension fund
• 30 vacation days
• Company day care
• Attractive employee referral program