Data Anchor

About the role

Join Ford’s mission to modernize automotive manufacturing through innovative data science, intelligent data pipelines, and AI/ML solutions. As a Data Anchor and AI/ML Engineer, you will be at the intersection of the digital and physical—architecting and deploying cutting-edge machine learning models and robust data ecosystems that bring predictive analytics, automation, and intelligence to the factory floor.

Responsibilities

• Architect and deploy data-driven solutions leveraging streaming IoT telemetry, massive data lakes, and cutting-edge Generative AI.
• Design and maintain robust data architectures with traditional SQL, BigQuery for enterprise data warehousing, MongoDB for flexible NoSQL document storage, and Hadoop ecosystems for distributed big data processing.
• Lead the migration and integration path from legacy on-premise systems (including legacy Hadoop clusters) to modern, cloud-native data platforms on GCP.
• Identify and implement monitoring solutions for data drift, model performance, and pipeline health using tools like Dynatrace, Splunk, and native cloud monitoring.
• Gain a deep understanding of the core functionality of Industrial Systems to drive data-driven optimizations and predictive modeling.
• Act as the technical lead for data initiatives, defining data architecture standards, mentoring team members, and ensuring alignment with enterprise data strategies across hybrid environments.

Requirements

• Master’s degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field.
• 5+ years of combined experience in Data Science, Data Engineering, and deploying AI/ML models into production environments.
• Strong proficiency in programming languages for data and ML, specifically Python and SQL.
• Deep expertise in big data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Hands-on experience with streaming data and Industrial IoT protocols, specifically MQTT.
• Advanced database experience across relational and non-relational systems, including deep knowledge of BigQuery.
• Expertise in cloud platforms (GCP preferred) and leveraging advanced AI services like Gemini Enterprise and Vertex AI.
• Experience exposing ML models via RESTful APIs or microservices.

Qualifications

• Proven ability to act as a "Data Anchor," guiding technical architecture and mentoring junior data scientists/engineers.
• Excellent communication, interpersonal, and presentation skills, with the ability to translate complex concepts to non-technical business stakeholders.
• Comfortable interacting with global plant IT and business customers to clarify needs and define data requirements.
• A quick learner, adaptable to changing environments, and highly effective within a diverse global team.

Skills

• Strong proficiency in programming languages for data and ML, specifically Python and SQL.
• Deep expertise in big data processing frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Hands-on experience with streaming data and Industrial IoT protocols, specifically MQTT.
• Advanced database experience across relational and non-relational systems, including deep knowledge of BigQuery.
• Expertise in cloud platforms (GCP preferred) and leveraging advanced AI services like Gemini Enterprise and Vertex AI.
• Experience exposing ML models via RESTful APIs or microservices.

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.

For a detailed look at our benefits, click here:

Pay

This position ranges from salary grade 6-8 and ranges from $85,400-$192,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

Schedule

Not specified