Data Scientist ( Warranty & Quality)

We are the movers of the world and the makers of the future. We get up every day roll up our sleeves and build a better world -- together. At Ford were all a part of something bigger than ourselves. Are you ready to change the way the world moves

Do you believe data tells the real story We do! Redefining mobility requires quality data metrics and analytics as well as insightful interpreters and analysts. Thats where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions customer needs and the competitive landscape. With our support key decision makers can act in meaningful positive ways. Join us and use your data expertise and analytical skills to drive evidence-based timely decision making.

In this position...

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.

What youll do...

• 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

Youll have...

• Bachelors 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.

Even better you may have...

• 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.

You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!

As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all of the above No matter what you choose we offer a work life that works for you including:

• 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 Years Day
  • Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits click here: New Hire Benefits

This position is a range of salary grades SG6-SG8.

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race religion color age sex national origin sexual orientation gender identity disability status or protected veteran the United States if you need a reasonable accommodation for the online application process due to a disability please call 1-.

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