Senior Data Scientist

🔥 3 minutes ago

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $99.6k - $166.6k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Ford Motor Company

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1903

🚗 Transport

💰 Post-IPO Debt on 2023-08

Transport • Manufacturing • Sustainability

Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape.

📋 Description

• 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

• 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

• 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.