Deputy Manager
Deputy Manager
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Job Description
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 realworld problems using Machine Learning Big Data Statistics Econometrics and Optimization. The goal of GDI&A is to drive evidencebased 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 cuttingedge 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.
Responsibilities
- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support datadriven decisionmaking
- Design and implement data analysis and ML models hypotheses algorithms and experiments to support datadriven decisionmaking
- 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
Qualifications
Minimum Qualifications
- Bachelors degree in Data science computer science Operational research Statistics Applied mathematics or in any other engineering discipline.
- 2 years of handson experience in Python programming for data analysis machine learning and with libraries such as NumPy Pandas Matplotlib Scikitlearn 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.
Preferred Qualifications
- An 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 GPT4 Google Palm Llama2 etc.
- Excellent problem solving communication and data presentation skills.
Required Experience:
Manager
Employment Type
Full-Time
