Data Scientist - NLP Modeling

Key Skills

Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Python Programming, PyTorch, spaCy, SQL, TensorFlow

Job Description

We are seeking a highly skilled and motivated Data Scientist to join our Quality Analytics team within the Global Data Insight and Analytics (GDI&A) organization at Ford Motor Company. As a Data Scientist specializing in Natural Language Processing (NLP) Modeling, you will play a critical role in developing innovative solutions to enhance the quality analytics capabilities of our organization.

Responsibilities:

• Develop and deploy NLP models to extract insights from unstructured textual data.
• Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics.
• Design and implement data preprocessing and feature engineering techniques for NLP tasks.
• Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems.
• Evaluate and fine-tune models for performance optimization, accuracy, and efficiency.
• Contribute maintainable code to existing and new pipelines.
• Stay up to date with the latest advancements in NLP and contribute to the continuous improvement of our methodologies and algorithms.
• Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.

Minimum Requirements:

• Master's degree in computer science, Engineering, Data Science, Statistics, Applied Mathematics, or a related data field.
• 2+ years of hands-on experience in Python programming for data analysis and machine learning.
• 1+ years’ experience in SQL programming language and relational databases.
• 2+ years of experience with NLP libraries and frameworks such as NLTK, spaCy, and Gensim.
• 2+ years of experience with both supervised and unsupervised machine learning techniques.
  • PhD in Computer Science, Engineering, Data Science, Statistics, Applied Mathematics, or a related data field.

Preferred Requirements:

• Experience working with large language models such GPT-4, Palm, Llama-2, etc.
• Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
• Industry experience in NLP modeling, preferably within the automotive or related domains.
• Experience with Git and GitHub for version control and collaboration.
• Experience with Google Cloud Platform for data processing and machine learning tasks.
• Strong communication skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you are a highly motivated individual with a passion for leveraging NLP techniques to drive quality analytics in the automotive industry, we would love to hear from you. Join our team and contribute to shaping the future of quality analytics at Ford Motor Company.

Disclaimer:

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.