Senior Data Scientist – Manufacturing Intelligence, Machine Learning, AI

Ford Motor Company

Senior Data Scientist focusing on machine learning and advanced analytics solutions for manufacturing. Collaborating with teams to optimize manufacturing processes and improve quality.

Posted 6/26/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $85,400 - $192,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop machine learning and statistical models to support manufacturing use cases such as anomaly detection, quality prediction, equipment health, process monitoring, throughput improvement, and decision support.
Apply supervised, unsupervised, and semi-supervised learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, statistical process control, and model explainability.
Build anomaly detection solutions using methods such as control limits, isolation forests, clustering, Mahalanobis distance, autoencoders, time-series models, and supervised classification where labeled defects are available.
Evaluate model performance using appropriate metrics, ground truth definitions, validation strategies, false positive and false negative analysis, and business impact measures.
Identify when data is insufficient, labels are unreliable, ground truth is weak, or a machine learning approach is not appropriate, and communicate those limitations clearly.
Partner with plant teams and domain experts to understand process behavior, validate assumptions, and determine whether model outputs reflect real operating conditions.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, Applied Mathematics, or a related technical field.
5+ years of experience applying data science, machine learning, statistical modeling, optimization, or advanced analytics in a professional environment.
Strong Python skills using libraries such as pandas, NumPy, scikit-learn, SciPy, XGBoost, PyTorch, TensorFlow, statsmodels, or similar tools.
Strong SQL skills and experience working with large, complex datasets.
Experience with supervised and unsupervised machine learning methods, including classification, regression, clustering, anomaly detection, time-series analysis, forecasting, or process optimization.
Experience building features from machine, sensor, process, quality, maintenance, production, or operational datasets.
Experience working with cloud-based data and analytics platforms such as GCP, AWS, Azure, or similar environments.
Understanding of MLOps concepts such as experiment tracking, model deployment, model monitoring, CI/CD, version control, testing, model registry, and retraining.
Ability to work with noisy, incomplete, high-frequency, or fragmented operational data.
Ability to communicate technical findings clearly to plant teams, engineers, leaders, and non-technical stakeholders.
Ability to operate in ambiguous environments where requirements, data quality, and success criteria may need to be clarified.
Professional confidence to challenge assumptions, push back constructively, and influence stakeholders with evidence.
Demonstrated ability to learn new technical and business domains quickly.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical modelinganomaly detectionclassificationregressionclusteringtime-series analysisPythonSQLMLOps

Soft Skills

communicationproblem-solvingcollaborationadaptabilityinfluencetechnical findings presentationcritical thinkinglearning agilityprofessional confidenceambiguity management