Big Data (advanced) Spark (advanced) SQL (advanced) Python (advanced) We are looking for a Senior Manager of experimentation platforms, to join our client's Global Analytics & Data Products Team. The company is a leading global automaker and provider of innovative mobility solutions. On the position, as a key member of the Data Science Team, your mission would be to put science into decision-making through machine learning initiatives. what we offersalary based on the contract of employmentpossibility to work fully remoteannual bonuscar discounts and leasingworking on multinational projects, designing state-of-the-art solutionslife insuranceappealing bonus systemsports cardprivate medical care your tasksDesign, build and optimize an experimentation platform for connected vehicles and remote applicationsPartner with the global data governance team to implement data privacy compliance with GDPR and CCPAPartner with Engineering peers in the creation of a standardized data library, catalog and instrumentationDrive continual improvements for reliability, performance, scalability and quality and own associated budgets & KPIsBuild and mentor a world-class team, expanding the impact and reach of data what we expectSuccessful advocacy, coaching, thought leadership and development opportunities for managers and direct reportsConsistently demonstrates the ability to identify and meet the needs of others in their team and across the companyExtensive hands-on experience building experimentation platforms for digital platforms and software clientsExperience of partnering with software developers to build configurable features in the client and backendExpert knowledge in developing a near real-time metrics and catalog to monitor the performance of testsA deep understanding of, and experience implementing and sing, population management toolsDemonstrable experience of building a planning tool to schedule, audit approvals and manage test implementationSuccessful influencing of non-technical peers and senior leadership to deliver substantive changeProven ability to improve efficiency and effectiveness metrics for the performance and cost of their infrastructure BSc with technical focus (e.g. Statistics, computer science, physics, engineering, etc.), advanced degree a plus6+ years of experience in the data engineering and software development life cycle.Comprehensive experience using SQL, Python, and SparkSignificant experience working with cloud big data platforms (i.e. AWS S3, Google BigQuery, Azure, etc.)Expert knowledge of time series database, data streaming applications, Kafka, Flink, and more nice to have:Be active in the industry, recognized for the application of science within your industryExemplifies multidimensional skill sets – data engineering, experimentation, software development, etc.Being a renowned champion for best practices within the analytics, data, and engineering teamsProvides context, not control, remaining highlight aligned but loosely coupled to your team Employment agency entry number 47