Data Scientist

3 weeks ago

Chennai Tamil Nadu, India Ford Full time

Job Category Enterprise Technology Degree Level Bachelor s Degree or equivalent GDIA Mission and Scope The Global Data Insights and Analytics GDI A department at Ford Motor 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 Warranty Analytics and exploring AI applications within Engineering Design and CAD modeling Potential Candidates Potential candidates should have hands-on experience in applying first principles methods machine learning data mining and text mining techniques to build analytics prototypes that work on massive datasets Candidate should have proficiency in Python expertise in Generative AI GenAI Natural Language Processing NLP Natural Language Generation NLG Experience with generative models such as Generative Adversarial Networks GANs for applications like design exploration or CAD model manipulation is a strong plus Experience of developing commonly used predictive models like - Linear Regression Decision Trees SVM KNN Gradient Boost Random Forest etc Proficiency in cloud platforms like GCP including experience with deploying AI applications Solid programming skills in Python and experience with relevant libraries and frameworks e g TensorFlow PyTorch scikit-learn Proven track record of delivering successful AI projects and driving business impact Strong understanding of text pre-processing normalization techniques such as tokenization Excellent communication presentation and documentation skills Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning data mining and text mining techniques to create scalable solutions for business problems potentially including AI-driven approaches for design optimization and generation Train tune validate and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality product development and connected vehicles both in structured and unstructured formats Establish scalable efficient automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE B Tech M S or Ph D in Engineering Computer Science Operations Research Statistics Applied Mathematics or in a related field 3 years of hands-on experience in using machine learning text mining tools and techniques such as Clustering classification decision trees Random forests Support vector machines Deep Learning Neural networks Reinforcement learning and other numerical algorithms Specific experience with generative models e g GANs for engineering or design applications will be highly valued 3 years of experience in at least one of the following languages Python R MATLAB SAS Experience with Google Cloud Platform GCP including VertexAI BigQuery DBT NoSQL database and Hadoop Ecosystem Excellent problem-solving communication and data presentation skills

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