Data Scientist/Data Engineer

Senior Data Scientist/Data Engineer

Position Description

We are looking for a Senior Data Scientist/Engineer for our client in the automotive industry.

You will collect, visualize & analyze data for opportunities / problems defined by the business. You are able to extract and structure data using specialized analytics tools. You build data models and standard reports and tools for a wider user community. You handle effectively interfaces to large amounts of data and create / integrate data structures suitable for analysis and deploy algorithms in performance efficient code

Key Responsibilities:

• Support various stakeholders and management using different Analytics tools and reports (Power BI)
• Support with data extraction from multiple sources using different tools (SQL, Python, Go, Knime, Databricks)
• Support management in creating and implementing the strategy for upskilling the team in Analytics.
• Reliability Life Data Analysis (Weibull++)
• Development and participation in projects to deliver (new) Analytics tools
• Active member in the Azure platform team
• Create analytical hypothesis taking business requirements into consideration.
• Identify opportunities for leveraging data to drive business solution.
• Conduct analysis to provide actionable insights, identify trends, and measure performance
• Visualize complex analytics output to enable and increase understanding of decision makers
• Apply statistics and mathematics models to understand and solve business problems on data.
• Collaborate with model developers to implement and deploy scalable solutions
• Accountable for the analytics quality, analytical leadership of the project team and delivery.
• Code and program data models and solve wider range of analytics problems
• Define standards and frameworks for data analysis
• Setup and enable colleagues to perform self-service reporting and analysis on data analysis platforms

Experience Required:

• A degree in Computer Science, Engineering, Data Science, or a related technical field
• Minimum 5+ years of experience in Data Engineering, data modelling, data warehousing, pipeline development, and documentation.
• You are used to working with a variety of data bases with large amounts of data, visualize and present.

**Skills required:**Software competencies:

• PowerBI/DAX, SQL, Python, Go, R, Databricks, Knime, snowflake
• Tools and technologies for working with Big Data, including event streaming (e.g. Kafka, MQTT), large-scale data processing (e.g. Apache Spark, Ray), and storage solutions for Big Data (e.g. Apache Iceberg, Delta Lake).
• Other SW knowledge: REST, JSON, GIT/SVN, Microsoft Azure & Cloud technologies
• Strong knowledge about statistical methods
• Machine learning/ data mining experience
• Life data analysis, Weibull analysis
• Data Storytelling & Data modelling
• Business Intelligence
• Agile way of working
• Excellent communication and presentation skills
• You can easily collaborate with others and effective in building networks / teams
• Effectively in priority settings
• Manage Complexity & Ambiguity
• Fluent in English both spoken & written
• Used to working cross functionally in a global environment
• A service minded “doer” who takes initiatives and is helpful to others