Ford Motor Company is a global leader in mobility, dedicated to building a better world. They are seeking a Data Scientist to develop scalable solutions using Machine Learning and Big Data to drive evidence-based decision making across various applications including Connected Vehicle and Quality Analytics.
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 efficient 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
Qualification
Required
Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline.
2+ 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 Power BI.
1+ years' experience in SQL programming language and relational databases.
Preferred
A MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred.
Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment.
Experience with Git and GitHub for version control and collaboration.
Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java)
Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail.
Experience working with large language models such GPT-4, Google, Palm, Llama-2, etc.
Excellent problem solving, communication, and data presentation skills.
Benefit
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
