We are looking for a Data Scientist to join our team and help transform data into actionable insights that accelerate digitalization across the business. In this role, you will design, build, and operate scalable data and AI solutions, working with a global network of experts on impactful products, from intelligent reporting and data pipelines to AI-powered applications, computer vision, telemetry analytics, and event-detection systems.
In your role you will:
- Design and implement statistical, machine learning, and AI models to solve real business and engineering problems.
- Build data-driven products and services across mobility-related domains, including cloud services, business process optimization, manufacturing analytics, and telemetry use cases.
- Ingest, process, and analyze diverse data sources, including relational databases, logs, sensor streams, and image data.
- Develop, test, and maintain reusable code libraries and production-grade data pipelines.
- Apply statistical and experimental methods to support root-cause analysis and decision-making.
- Take ownership across the full lifecycle of data solutions: discovery, prototyping, deployment, monitoring, and continuous improvement.
- Collaborate effectively in a multicultural, distributed team environment.
- Contribute to the adoption of leading-edge technologies and AI-powered applications.
Technology Stack
- Programming and Data: Python, SQL, PySpark
- Data Platforms: Databricks, Azure Data Services
- Databases: Relational and non-relational databases (for example, Oracle, SQL Server, MongoDB)
- Data Processing: ETL/ELT pipelines, batch and streaming workflows
- AI/ML Tooling: Model development, evaluation, deployment, and monitoring tooling
- Collaboration: Git-based version control and issue tracking tools (for example, Jira)