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.
Louisville, KY, US
Live, first seen by us 6 days ago* 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/GSRRead the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Visa sponsorship is not available for this position
Develop and validate machine learning and statistical models for business strategy
Gather, manage and analyze structured and unstructured data for reporting
Research and apply new analytical methods and techniques
Collaborate with cross-functional teams to turn analysis into actionable insights
Create reports, projections and visual presentations of results
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.
Create comprehensive reports, projections, and visual presentations.
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!
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.
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.
Day 6
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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) * 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:
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!
Complete your application on ford.eightfold.ai. The employer’s form will show what is required.
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Yes. We’ve followed one other Data Scientist (LAP) job there since October 2026. It came down after 14 days.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
* 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
Louisville, KY, US
Working pattern and location restrictions need checking in the full posting.
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.