Redford, MI

Data Jobs in Redford, MI

2 jobs found

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1mo ago

Senior Data Scientist / ML Engineer

Ford Motor Company Redford, MI

Redford, MI

1mo ago Closed

$133k - $251k/yr Full time Senior Artificial Intelligence Cloud

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Ford Motor Company is hiring a Senior Data Scientist / ML Engineer in Redford, MI (hybrid) to help shape a modern data mesh and data product ecosystem, including federated governance, cloud-native pipelines, and semantic layers that support consistent enterprise data interpretation.

Role Overview

This is a full-time, hybrid leadership role at Level 6. The compensation range is USD 132,800 to 250,800 per year, with final salary grade determination based on candidate skills and experience. Base salary will be set within the applicable range according to job scope, responsibility, and competitive market value. For more information on salary and benefits, see: https://fordcareers.co/LL6.

Location: Redford, MI (hybrid). Visa sponsorship: not available. Relocation assistance: not provided. Employment eligibility must be verified at hire for candidates legally authorized to work in the United States.

Responsibilities

Design and evolve Ford’s data mesh architecture across manufacturing and enterprise domains, including defining domain boundaries, data product contracts, and interoperability standards.
Establish and maintain federated computational governance policies (schema standards, data quality SLAs, security classifications, lineage and retention requirements) applied consistently across decentralized domain teams.
Lead modernization of legacy data workflows by adopting next-generation technologies and cloud-native patterns using GCP, Vertex AI, and agentic AI/LLM orchestration.
Transform raw data landing in cloud platforms from manufacturing systems into curated, documented, high-quality data products.
Define and enforce data product standards covering ownership, schema versioning, SLAs for freshness/completeness/accuracy, discoverability, and access controls.
Oversee ingestion, transformation, and publishing pipelines (batch and streaming) that convert raw operational data into standardized, reusable assets.
Design and build data structures and semantic layers (ontologies and knowledge graphs) to enable AI agents to interpret enterprise data consistently with minimal human intervention.
Design and develop data models (enterprise, conceptual, logical, and physical) for assigned domains, and manage models in a shared repository.
Partner with product and analytics teams to convert use cases into data requirements, providing architecture guidance, data models, and design reviews.
Establish and enforce data architecture principles and best practices for data products, including catalog, lineage, observability, security, and interoperability.
Drive data quality initiatives by profiling source-system data, defining quality requirements and metrics, and guiding monitoring, measurement, reporting, and remediation.
Drive adoption of cloud services such as GCP as the technical backbone for the data mesh and data product ecosystem.
Evaluate and implement metadata management and data catalog solutions to support discoverability and trust across the mesh.
Establish monitoring, observability, and SLA tracking for published data products.
Own and evolve the federated governance framework, balancing global standards with domain-level autonomy to support compliance with Ford’s data security, privacy, and regulatory requirements.
Implement automated policy enforcement (schema validation, access control, metadata cataloging, lineage tracking) using GCP-native and third-party tooling.
Partner with cybersecurity, legal, and compliance teams to classify and protect sensitive manufacturing and enterprise data.
Ensure development patterns support Ford’s data security requirements and global privacy regulations, including privacy and compliance by design.

Requirements

Master’s degree in computer science, Information Systems, Data Engineering, or a related field, or an equivalent combination of relevant education and experience.
5+ years of experience in data architecture, data engineering, or advanced database design/modeling, including designing or implementing databases, data warehouses, or data marts, with exposure to large-scale manufacturing or industrial data environments.
15+ years of experience leading, managing, or mentoring technical teams (direct people leadership, matrixed leadership, or lead/owner roles directing cross-functional teams).
Hands-on experience creating data models using data modeling tools.
Deep, hands-on experience with GCP technologies including BigQuery, Cloud Storage, Dataform, Data Fusion, Astronomer, or similar cloud data engineering tools.
Demonstrated experience designing or implementing data mesh or domain-oriented data architectures.
Understanding of AI/ML capabilities, including experience modeling semantic layers, knowledge graphs, or ontologies for a data platform.
Knowledge of data governance, data quality, and data product marketplace enablement practices.
Proficiency in SQL, Python, and modern data pipeline or orchestration tools.
Strong stakeholder management skills, including the ability to work across plant floor operations teams and enterprise IT/analytics functions.

Technologies

GCP, Vertex AI
BigQuery, Cloud Storage
Dataform, Data Fusion, Astronomer
SQL, Python

Benefits

Immediate medical, dental, vision, and prescription drug coverage
Flexible family care days
Paid parental leave, new parent ramp-up programs, and subsidized back-up child care
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

Additional Information

Job Type: Full time
Work Type: Hybrid
Tags: #LI-On-Site #LI-DS2

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4mo ago

Senior Data Engineer

Ford Motor Company Redford, MI

Redford, MI

4mo ago Closed

$85k - $193k/yr Full time Senior Cloud Operations Data Analysis

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Ford Motor Company offers a compelling compensation package for a Senior Data Engineer, with an annual salary range of USD 85,400 to 192,900 and a hybrid work arrangement in Redford, MI. The role centers on leading end-to-end data science work in manufacturing, designing scalable data pipelines and machine learning models, and providing technical leadership across cross-functional teams. The environment emphasizes collaboration, data-driven decision making, and tangible impact on vehicle quality and plant uptime. The benefits package includes robust medical coverage, flexible family support, parental leave and ramp-up programs, subsidized back-up child care, a vehicle discount program for employees and families, tuition assistance, active employee resource groups, paid time off for community service, a generous holiday calendar, and the option to purchase additional vacation time.

Overview

Job Type: Full time
Work Type: Hybrid
Location: Redford, MI

Responsibilities

Develop and deploy advanced machine learning models for predictive maintenance, anomaly detection, and computer vision based quality control.
Build end-to-end data pipelines from ingestion (sensor data, PLC logs) to model deployment and monitoring using Google Cloud Platform and Python.
Apply rigorous statistical methods to identify patterns in manufacturing data that correlate with vehicle quality or equipment downtime.
Collaborate with Product and Engineering teams to translate manufacturing challenges into technical requirements and deliver user focused data products.
Provide technical leadership within ATP, conduct code reviews, mentor junior scientists, and stay at the forefront of AI and ML research in industrial settings.
Ensure models are production-ready, scaling pilots to global plant deployments across facilities.
Partner with data engineering to improve data collection protocols and sensor telemetry quality from the plant floor.

Requirements

Bachelor’s degree or foreign equivalent in computer science, information technology, or a related technology field
Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field
Minimum 5 years of professional experience in a Data Science role with a proven track record of deploying models in production
Proficiency in Python; knowledge of R and SQL is highly valued
Expertise with ML frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, and LightGBM
Experience with Google Cloud Platform (Vertex AI, BigQuery, Dataflow)
Domain knowledge in time-series analysis, industrial IoT data, or manufacturing quality systems
PhD in a relevant field
Deep Learning experience with Computer Vision (CNNs) for automated inspection or Transformers for complex sequence modeling in sensor data
Experience with MLOps, including CI/CD for ML, containerization (Docker/Kubernetes), and model monitoring tools
Strong communication skills with the ability to explain complex mathematical concepts to non-technical stakeholders
Product-first mindset focused on business impact of the model rather than solely on accuracy metrics

Technologies

Python
R
SQL
PyTorch
TensorFlow
Scikit-learn
XGBoost
LightGBM
Google Cloud Platform (GCP)
Vertex AI
BigQuery
Dataflow
Docker
Kubernetes

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

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Data Jobs in Redford, MI

Senior Data Scientist / ML Engineer

Senior Data Engineer

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