Data Scientist/Data Engineer
Core
Collect, visualize, and analyze data to solve business problems and drive solutions in the automotive industry.
Role type
Senior Data Scientist/Data Engineer
Builds
Data models, standard reports, analytics tools, and scalable data solutions.
Domain
Automotive industry, Big Data, Cloud technologies
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Go, Power BI, Databricks, Weibull analysis, statistical methods, machine learning, data modeling, REST APIs, Apache Spark, Kafka, Azure
Preferred skills
R, Snowflake, Apache Iceberg, Delta Lake, Ray, JSON, GIT/SVN, data storytelling, business intelligence
Technologies
Power BI, DAX, SQL, Python, Go, R, Databricks, Knime, Snowflake, Kafka, MQTT, Apache Spark, Ray, Apache Iceberg, Delta Lake, Microsoft Azure, REST, JSON, GIT, SVN
Responsibilities
Extract and structure data from multiple sources using specialized analytics tools; build data models and standard reports for a wider user community; handle interfaces to large amounts of data and create data structures suitable for analysis; deploy algorithms in performance-efficient code; support stakeholders and management using analytics tools and reports; create analytical hypotheses based on business requirements; 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 decision makers; apply statistics and mathematics models to solve business problems; collaborate with model developers to implement and deploy scalable solutions; define standards and frameworks for data analysis; setup and enable colleagues to perform self-service reporting and analysis.
Seniority
Senior, hands-on IC with leadership responsibilities