Pay
Lower than most similar jobs
$86.6K–$145K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist (LAP)
Louisville, KY, United States
Live, first seen by us 6 days ago- Pay
$86,600–144,900/yearAnnual period assumed — pay source
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
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Visa sponsorship is not available for this position
What you’ll work on
Full postingDevelop and validate machine learning and statistical models for business strategy
Gather, manage and analyze structured and unstructured data for reporting
Research and apply innovative analytical methodologies and techniques
Interpret and present analytical results through reports and visual presentations
From the employer’s posting
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.
Interpret and present analytical results Create comprehensive reports, projections, and visual presentations.
What you’ll bring
All qualificationsCore experience
- Bachelor's in a quantitative field, or 5+ years in data science or related field
- Proficiency in Python, R, SQL or similar languages
- Expertise in predictive modeling, clustering and regression techniques
- Strong skills handling structured and unstructured datasets
- Excellent communication skills for diverse audiences
Preferred experience
- Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable.
Qualification wording
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.
Education & alternatives
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 28, 20266 days ago
- Recorded sightings
- 11
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Oct 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 6
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Ford Motor is hiring
20 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
- 10% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- BigQuery
- GCP
- Google Cloud Storage
- Looker
- Power BI
- Tableau
- FastAPI
- Flask
- NumPy
- pandas
- PyTorch
- scikit-learn
- Streamlit
- TensorFlow
Where the posting names them
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. What you’ll do…
What you’ll do… - Programming & Databases:- Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) - SQL (Advanced querying, stored procedures, query optimization)
- 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
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.
- 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
- 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
Your next step
Complete your application on efds.fa.em5.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Has Ford Motor posted this job before?
Yes. We’ve followed one other Data Scientist (LAP) job there since October 2026. It came down after 14 days.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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.
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.
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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- Pay
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
- Location & working pattern
Louisville, KY, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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.