Data Scientist

🔥 1 minute ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Logo of Ford Motor Company

Ford Motor Company

10,000+ employees

Founded 1903

📦 Logistics

💼 Consulting

📣 Marketing

💰 Post-IPO Debt on 2023-08

Logistics • Consulting • Marketing

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• Design ML data products using robust coding practices • Analyze, clean, and prepare structured and unstructured data for modeling and AI applications • Perform statistical analysis and preprocessing on large datasets • Explore state-of-the-art models and techniques for automotive industry use cases • Conduct machine learning experiments to train and infer models, including models subject to memory and latency restrictions • Deploy REST APIs or minimalistic UI applications using Docker and Kubernetes • Showcase machine learning, deep learning, and generative AI applications through Dash, Plotly, Streamlit, and similar web frameworks • Build modular AI/ML products for scalable consumption • Develop agentic applications using Google’s Agent Development Kit (ADK), integrating agents with tools, data, and application workflows • Use Git and GitHub for version control, collaboration, code review, and project workflows • Communicate findings, trade-offs, and recommendations to technical and non-technical partners

🎯 Requirements

• 3+ years of experience • Bachelor’s or Master’s Degree in Computer Science, Engineering, Maths or Science • Strong Python skills; experience with NumPy, Pandas, and scikit-learn • Ability to write readable, testable, and maintainable code • Experience selecting, training, and evaluating machine learning models • Understanding of data preparation, validation, metrics, and common sources of bias or leakage • Experience developing APIs or services with FastAPI or comparable frameworks • Ability to build interfaces with Streamlit or similar tools • Experience deploying or supporting data and AI workloads on Google Cloud Platform • Familiarity with Google’s Agent Development Kit (ADK), or comparable agent frameworks and willingness to learn ADK • Comfortable with Git and GitHub branching, commits, pull requests, code review, and collaborative development • Helpful experience with deep learning, natural-language processing, generative AI, retrieval-based applications, Docker, automated testing, dependency and environment management, CI/CD, production monitoring, data pipelines, distributed processing, cloud-based analytics, vector search, search platforms, or unstructured data • Comfortable collaborating across teams and locations using GitHub, chat, email, and video calls

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