Data Scientist/Data Engineer

Senior Data Scientist/Data Engineer

Position Description

We therefore looking for a person with passion for PowerBi and Python, a skilled developer who can handle large volumes of data from various databases. You are a true team player who enjoys working with people. Excellent communicational- and networking skills are a necessity sine this role supports various teams and stakeholders of all levels with reports and analytics.

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 I 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
• Visualise 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
• Business insight / owner’s mentality
• Excellent communicationa 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