Senior Data Scientist

Ford Motor Company

Senior Data Scientist on the Credit AI team at Ford Credit leading AI and machine learning solutions. Focusing on customer experience, risk reduction, and operational efficiency.

Posted 6/5/2026full-timeRemote • Missouri • 🇺🇸 United StatesSenior💰 $99,600 - $166,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSDLCSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, validate, and deploy machine learning and AI solutions for business-critical applications.
Build scalable predictive models, anomaly detection systems, forecasting solutions, recommendation systems, and generative AI applications.
Develop conversational AI and agent-assist solutions leveraging LLMs, NLP, and retrieval-augmented generation (RAG) techniques.
Create intelligent AI agents for business workflow automation and SDLC acceleration initiatives.
Develop and optimize fraud detection models using supervised and unsupervised machine learning techniques.
Analyze structured and unstructured datasets to identify trends, patterns, risks, and business opportunities.
Partner with engineering teams to productionize AI/ML solutions and integrate them into enterprise applications and workflows.
Develop reusable ML pipelines, feature engineering frameworks, and model monitoring capabilities.
Monitor model performance, drift, reliability, and operational effectiveness in production environments.
Collaborate with product managers, engineers, business stakeholders, and risk/compliance teams to define requirements, success metrics, and implementation strategies.
Translate technical insights and analytical findings into clear business recommendations and executive-level communications.
Ensure AI and machine learning solutions comply with data governance, privacy, security, and regulatory standards.
Develop documentation supporting model explainability, validation, monitoring, and audit readiness.
Promote responsible AI practices, including fairness, transparency, and risk mitigation.
Mentor junior team members and contribute to technical standards, best practices, and continuous improvement initiatives.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
5+ years of experience developing and deploying machine learning or AI solutions in production environments.
Strong programming experience in Python and experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar.
Experience building predictive models, forecasting solutions, anomaly detection systems, NLP applications, or generative AI solutions.
Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or conversational AI systems.
Strong SQL and data manipulation skills with experience working on large-scale datasets.
Experience with cloud platforms such as AWS, Azure, or GCP.
Understanding of MLOps concepts including model deployment, monitoring, versioning, and CI/CD workflows.
Strong analytical, problem-solving, communication, and stakeholder management skills.

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

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI solutionspredictive modelsanomaly detectionNLPgenerative AIfraud detectionfeature engineeringPythonSQL

Soft Skills

analytical skillsproblem-solvingcommunicationstakeholder managementmentoringcollaborationtechnical standardsbest practicescontinuous improvementbusiness recommendations

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in StatisticsBachelor’s degree in MathematicsBachelor’s degree in Engineering