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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