Vacant job

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 interfaces to large amounts of data effectively 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 hypotheses taking business requirements into consideration.
• Identify opportunities for leveraging data to drive business solutions.
• 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 a 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 databases with large amounts of data, visualizing and presenting.

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 are effective in building networks/teams.
• Effective in priority setting.
• 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.