Principal Data Scientist - Dynamic Pricing M/F/X

Created on 01-08-2018

Location Berlin

CLOSED VACANCY Apply now

Description

Your purpose:
• You will work in a cross-functional, product-focused team revolutionising dynamic pricing and revenue management for large transportation networks
• You will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cycles
• You will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data science
• You will have the opportunity to directly drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organization
• You will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organization

Your value:
• Your work in team Bus Factor will have a major influence on company revenue, and hence you will be shaping the future of the FlixBus business
• You will help to evolve FlixBus into a data driven company by providing leadership and governance to a decentralized, company wide data organization
• You will support on all organizational levels to derive decisions utilizing data and analytical skills
• You will help to structure work, planning new analyses, translating business questions into analytical projects
• You will consult and mentor data scientists, data engineers and data analysts to drive excellence in value generation
• You will strive to represent FlixBus as a technology organization by presenting at conferences, contributing to patents and writing white papers Your expertise:
• Proven and extensive track record of applying data science methods to business problems in an industry context, preferably in e-commerce
• Lateral team leadership, mentoring and cross team project management skills
• Extensive and deep experience with designing, developing, validating, and deploying advanced data products and delivering actionable insights from data analysis
• Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in production
• PhD or MsC in Computer Science, Computational and Applied Statistics, Operations Research, Machine Learning, Mathematics or comparable field
• Experience in projects involving large scale multidimensional databases, complex business infrastructure, and cross-functional teams

Your technical skills:
• Strong verbal/written communication and presentation skills, including an ability to effectively communicate with both business and technical teams
• Solid programming experience in mainstream programming languages like Python, R, Scala, or Java
• Experience visualizing and communicating data
• Hands-on experience applying machine learning techniques (especially feature engineering) using standard off the shelf packages
• Good understanding of sourcing data using various data management solution (relational as well as non-relational databases)
• Experience working with large data streaming technologies like Spark, Flink