DXC Technology is seeking a Senior Data Scientist to optimize EV battery manufacturing processes by developing and deploying advanced machine learning models to improve efficiency, quality, and reliability.
Requirements
- 5+ years of experience developing and deploying data-driven predictive analytics, machine learning, or AI solutions in production environments.
- Strong background in supervised and unsupervised learning algorithms and applied statistical modeling.
- Proficiency in Python, PySpark, and experience with distributed computing frameworks.
- Knowledge of the machine learning development lifecycle in mission-critical or industrial environments.
- Experience in data processing, feature engineering, and database query languages.
- Experience working with cloud platforms (AWS, GCP, Azure) and modern MLOps frameworks.
- Collaboration with data architecture and platform engineering teams for large-scale ML deployment.
Responsibilities
- Develop and deliver ML solutions focused on EV battery manufacturing, including predictive modeling, process optimization, and anomaly detection.
- Partner with other team members to identify high-value opportunities where data science can reduce costs, improve yield, and enhance product quality.
- Design and deploy large-scale AI/ML models, leveraging cloud-based architectures and big data platforms for scalability and performance.
- Ensure best practices in the whole machine learning lifecycle—data preparation, model development, validation, deployment, and monitoring.
- Promote innovation by exploring emerging AI technologies applicable to EV battery and automotive manufacturing.
Other
- Master’s degree (or higher) in Computer Science, Engineering, Mathematics, or a related technical field.
- Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- Industry experience in automotive, EV, or battery manufacturing.
- Familiarity with battery production processes and data sources (e.g., electrode manufacturing, cell assembly, formation).
- This role will be on-site at our client’s location in Plano, TX.
