The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.
The goal of GDI&A is to drive evidence-based decision making by providing insights from data.
Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.
Qualifications :
Job Qualifications:
- Master's or Ph.D. degree in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline preferred.
- 3+ years of experience with software engineering best practices in a team of 3+ engineers
- 1+ years working within public cloud ecosystems (AWS, GCP, or Azure)
Technical Skills:
- Strong programming skills in Python.
- Demonstrated expertise in designing & architecting cloud-based data pipelines / microservices
- Experience working with databases, including data modeling and querying relational databases (PostgreSQL, MySQL), NoSQL databases, and columnar databases like BigQuery
- Should have experience in feature engineering, hyper parameter tuning, model evaluation, etc.
- Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface
- Core concepts of modern NLP or Computer Vision modeling techniques
- Familiarity with best practices in deep learning
- Strong technical writing and oral english skills
Preferred Qualifications :
- Git and best practices in GitHub
- Test and Behavior Driven Development
- OS: Linux shell scripts
- Experience with Google Cloud Platform
- Experience with front-end and back-end technologies (React, Angular, Node.js) for developing integrated data access and visualization layers
- High-level proficiency in Infrastructure-as-Code (IaC) tools, specifically Terraform
- Strong knowledge of CI/CD pipelines and automation frameworks to enhance development workflows
Key Roles and Responsibilities of Position :
- Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
- Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends.
- Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely.
- Fulfill problem formulation and ML technique consulting requests in a timely manner.
- Work collaboratively with different business partners and be able to present results in a clear and concise manner.
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