onsite
Data Scientist and AI Engineer - Ford Motor Company
Data Scientist
Develop end‑to‑end data science solutions that extract insights from structured and unstructured data, leveraging Python, machine learning, deep learning, and cloud platforms to drive product and customer impact.
About the role
Key Responsibilities
- Design, build, and deploy large‑scale analytical and AI products that address business problems and improve customer experiences.
- Perform data exploration, feature engineering, and model development using Python, machine learning, and deep learning techniques on both structured and unstructured datasets.
- Collaborate with product owners and cross‑functional teams to translate product functionality and customer needs into data‑driven solutions.
- Implement and maintain scalable pipelines on cloud platforms (e.g., AWS) to ensure reliable data ingestion, processing, and model serving.
- Communicate findings through clear visualizations and storytelling, providing actionable recommendations to stakeholders.
Requirements
- Strong proficiency in Python and SQL for data manipulation, analysis, and model implementation.
- Hands‑on experience with machine learning and deep learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch).
- Familiarity with cloud services such as AWS (S3, EC2, SageMaker) for building and deploying scalable solutions.
- Ability to work with both structured and unstructured data, applying appropriate preprocessing and feature extraction methods.
- Excellent problem‑solving skills and the ability to convey complex technical concepts to non‑technical audiences.
Skills
pythonmachine learningdeep learningsqlaws