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 Quality Analytics Potential candidates should have excellent depth and breadth of knowledge in machine learning data mining and statistical modeling They should possess the ability to translate a business problem into an analytical problem identify the relevant data sets needed for addressing the analytical problem recommend implement and validate the best suited analytical algorithm s and generate deliver insights to stakeholders Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms tools and techniques The role is that of an individual contributor however the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis Bachelor s degree in Data science computer science Operational research Statistics Applied mathematics or in any other engineering discipline 3 years of hands-on experience in Python programming for data analysis machine learning and with libraries such as NumPy Pandas Matplotlib Scikit-learn TensorFlow PyTorch NLTK spaCy and Gensim 2 years of experience with both supervised and unsupervised machine learning techniques 2 years of experience with data analysis and visualization using Python packages such as Pandas NumPy Matplotlib Seaborn or data visualization tools like Dash or QlikSense 1 years experience in SQL programming language and relational databases Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models hypotheses algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining predictive modeling prescriptive modeling math statistics advanced analytics machine learning models and algorithms etc to analyze data and uncover meaningful patterns relationships and trends Design productive data loading data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models including scalable models suitable for automation Research study and stay updated in the domain of data science machine learning analytics tools and techniques etc and continuously identify avenues for enhancing analysis efficiency accuracy and robustness

📌 Data Scientist (Tamil Nadu)
🏢 Ford Motor
📍 Tamil Nadu