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Head of Data Science & Engineering (m/f) at LOVOO GmbH (Dresden, Deutschland)

Head of Data Science & Engineering (m/f)


Dresden | full-time




We offer



  • Attractive and competitive salary as well as participation in success

  • Develop and define areas of responsibility directly by implementing your own ideas as well as by taking the lead for independent projects

  • Modern offices with a pool table, foosball and ergonomic office equipment right in the heart of the cities of Dresden and Berlin

  • Flexible working hours, home office when needed and an equilibrium of work and life

  • Professional and personal development through feed­back talks, language classes, MOOC fee re­im­burse­ments (e. g. Coursera) as well as in-house events such as ThunderTalks, Showtime, Open Space Days or the LOVOO Compass

  • A motivated and multicultural team with familial spirit

  • Cross-departmental communication and knowledge-sharing as well as learning directly in cross-functional teams and an US exchange program with our parent-company ‘The Meet Group’

  • Opportunity to attend and speak at international conferences & local meetups

  • Assistance with relocation for internationals

  • A rich culinary variety with regular lunch and dinner offers as well as a comprehensive selection of drinks

  • Diverse sports & health offerings plus our own LOVOO Gym



Your tasks



  • Taking responsibility for all data science & data engineering technologies and applications in a cloud environment (GCP), incl. design, development and performance optimizations

  • Coordination across departments with Product Management, SRE, Localization as well as Backend and Mobile Engineering

  • Development of data science & data engineering strategies

  • Work with our agile coaches to foster an agile development environment

  • Personnel responsibility, including building a high-performance team through recruiting as well as through personal and professional development of the team members



Our requirements



  • At least 2 years of experience in a leadership position as well as several years of professional experience in the fields of big data and machine learning

  • Relevant experience with cloud technologies (Google BigQuery or Amazon Redshift, Kubernetes, Docker) as well as with building and maintaining big data microservice architectures

  • Profound knowledge in data science (A/B testing, time series modelling, statistical modelling) as well as in machine learning (recommendation systems, random forests, deep learning)

  • Experience in stream processing (knowledge in dealing with Kafka in particular is an advantage)

  • Practical knowledge of the supervision of big data projects including risk management and data security

  • Confidence in using Python, R or equivalent is viewed favorably

  • Strong entrepreneurial thinking & hands-on mentality

  • Highly self-organized with the ability to prioritize and to work well in a dynamic organization

  • Excellent communication skills in German and English as well as the ability to work across multiple teams


by via developer jobs - Stack Overflow
 

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