Data Scientist (LAP)

As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we''re known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You''ll get the satisfaction of making great products people use and love.

In this position...

We are seeking a highly analytical and results-oriented Data Scientist with who can leveraging IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives.

Required Skills:

• Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline.
• Proficiency in tools and programming languages such as Python, R, SQL, or similar.
• Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable.
• Strong skills in handling structured and unstructured datasets for reporting and modeling.
• Excellent communication skills with the ability to simplify complex concepts for diverse audiences.
• Proven ability to work independently and exercise sound judgment on technical approaches.

You may not check every box, or your experience may look a little different from what we''ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.

This position is a salary grade 7 and ranges from $86,600-$144,900.

For more information on salary and benefits, click here: https://fordcareers.co/GSR

Visa sponsorship is not available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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What you'll do…

• Programming & Databases:

• Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI)

• SQL (Advanced querying, stored procedures, query optimization)

• Cloud Platforms & Big Data:

• Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc

• Data Technologies & Protocols:

• MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining

• Manufacturing & IIoT:

• Industrial Internet of Things (IIoT) Architectures & Principles

• Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding)

• Familiarity with software for data access/visualization tools

• Manufacturing Environment & Equipment Data

• Machine Learning & Statistical Analysis:

• Quality Control/Prediction, Process Optimization

• Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN)

• Statistical Modeling, Hypothesis Testing

• Visualization & UI/Dashboard Development:

• Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh)

• UI/UX Design Principles for Data Applications

• Data Storytelling

• Software Development & Operations:

• Version Control (Git), Agile Methodologies, Basic API Development Responsibilities:

• Develop and validate machine learning and statistical models to support business strategy.

• Gather, manage, and analyze structured and unstructured data for reporting and analytics.

• Research and apply innovative analytical methodologies and techniques.

• Collaborate with cross-functional teams to define objectives and develop actionable insights.

• Interpret and present analytical results

• Create comprehensive reports, projections, and visual presentations.

• Adhere to established guidelines and contribute to strategic discussions.

What you'll do…

• Programming & Databases:

• Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI)

• SQL (Advanced querying, stored procedures, query optimization)

• Cloud Platforms & Big Data:

• Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc

• Data Technologies & Protocols:

• MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining

• Manufacturing & IIoT:

• Industrial Internet of Things (IIoT) Architectures & Principles

• Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding)

• Familiarity with software for data access/visualization tools

• Manufacturing Environment & Equipment Data

• Machine Learning & Statistical Analysis:

• Quality Control/Prediction, Process Optimization

• Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN)

• Statistical Modeling, Hypothesis Testing

• Visualization & UI/Dashboard Development:

• Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh)

• UI/UX Design Principles for Data Applications

• Data Storytelling

• Software Development & Operations:

• Version Control (Git), Agile Methodologies, Basic API Development Responsibilities:

• Develop and validate machine learning and statistical models to support business strategy.

• Gather, manage, and analyze structured and unstructured data for reporting and analytics.

• Research and apply innovative analytical methodologies and techniques.

• Collaborate with cross-functional teams to define objectives and develop actionable insights.

• Interpret and present analytical results

• Create comprehensive reports, projections, and visual presentations.

• Adhere to established guidelines and contribute to strategic discussions.