Leverage machine learning, AI, and data engineering techniques focused on the Service Solutions and Commercial organization to address key business problems in electrification and supply chain.
Requirements
- Familiarity with SQL and working with structured data.
- Exposure to cloud-based tools (e.g., Azure, AWS, GCP), particularly for data science or engineering tasks.
- Understanding of key machine learning concepts such as classification, regression, clustering, or time series forecasting.
- Comfortable using data visualization tools such as Power BI, matplotlib, seaborn, or Streamlit.
- Exposure to agile ways of working, including version control (Git) and working in cross-functional teams, is a plus.
Responsibilities
- Support the development of predictive and prescriptive models using machine learning and statistical techniques to address key business problems in electrification and supply chain.
- Assist in building data pipelines and workflows to ingest, clean, and prepare large datasets from various internal and external sources.
- Collaborate on the development and deployment of analytics solutions using cloud platforms such as Databricks and Azure ML.
- Develop clear and compelling data visualizations and dashboards to communicate insights to both technical and non-technical stakeholders.
- Work within an agile team environment, contributing to code repositories, sprint planning, and solution documentation.
- Stay up to date with emerging trends in data science, generative AI, and commercial mobility innovation.
- Participate in innovation initiatives, brainstorming new ways to apply AI and analytics to improve operations and customer experience.
Other
- Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment
- Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field
- Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States.
- We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
- A passion for learning, a collaborative mindset, and a bias toward innovation are key to success in this role.
