Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. 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 to drive evidence-based decision making by providing insights from data.
Requirements
- 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.
- 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.
- Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail.
Responsibilities
- 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
Other
- 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.
- Excellent problem solving, communication, and data presentation skills.
- Visa sponsorship is not available for this position.
- Candidates for positions with Ford Motor Company must be legally authorized to work in the United States.
