Data Science and Machine Learning Specialist

Data Science and Machine Learning Specialist #1060197

Location:

Dearborn, Michigan

Employees in this job function are responsible for predicting and/or extracting meaningful trends, patterns, and recommendations from raw data, leveraging data science methodologies including machine learning, predictive modeling, math, statistics, advanced analytics, and related techniques.

• 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 analytics techniques such as data mining, predictive modeling, prescriptive modeling, and machine learning algorithms to analyze data and uncover meaningful patterns, relationships, and trends.
• Design efficient data loading, augmentation, and 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, and analytics tools and techniques, and continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness.
• Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform.
• Perform deep‑dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent or mitigate RAV.
• Execute quick‑turn studies for urgent business questions by mining, managing, and exploring large, high‑dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls).
• Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights.
• Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value.
• Communicate, present, and interpret analytical results to non‑technical audiences, cross‑functional teams, and leadership on a regular basis.

• Data Mining, data/analytics dashboards, algorithms.
• Data analysis and data science fundamentals.

• Specialist experience: 5+ years in relevant field.

• Master’s Degree.

• Doctorate.

• Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform.
• Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV.
• Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets.
• Visualize validation results, analyses, and predictions using Power BI.
• Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value.
• Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis.