Lead Data Scientist

Responsibilities

• Initiating creation of Jupyter-centric data science platform
• Disseminating best practices in Spark-based machine learning pipelines
• Build demand forecasting model beating industry standards
• Build causal inference model to allocate business assets optimally
• Build model to optimize online ad spending on clicks and views
• Create training program for Analytics Translators
• Develop occupancy pattern detection algorithm
• Create Python library for causal inference

Requirements

• Significant Data engineering Experience
• Pyspark
• HDFS
• Grafana
• Apache Airflow
• Apache Spark
• ELK Stack
• Hadoop Ecosystem
• Time series
• Graph theory
• ML & DL algorithm

Technologies

• JupyterHub/Jupyter Lab
• Spark
• Kafka
• Mesos/Kubernetes
• Airflow
• Python (of course)
• Java/Scala is added bonus
• Docker
• Jenkins
• Shell scripting

We offer

• Competitive Compensation
• 26 paid holiday days
• Commuting to work- costs reimbursement
• Option to participate in our Pension Plan scheme OR Health insurance Compensation
• Discretionary Performance Based bonus
• Laptop + Corporate Simcard
• Annual Salary Review
• Trainings, Internal Education and Dutch Language Courses
• Unlimited access to LinkedIn learning solutions
• Relocation Package
• Regular Corporate and Social Events
• The opportunity to be part of a diverse and multicultural company