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Data Scientist (LAP)

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
Not stated
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 workVisa sponsorship is not available for this position

What you’ll work on

Full posting
  • 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

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.
Collaborate with cross-functional teams to define objectives and develop actionable insights.
Create comprehensive reports, projections, and visual presentations.
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. * 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!
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Posting record

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Status in our records
Live
First seen by us
Oct 29, 20266 days ago
Recorded sightings
9
Last seen by us
Nov 4, 2026
Reposted
once since Oct 7, 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

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.

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 is hiring

16 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down quickly
  • 13% of open jobs were reposted
Hiring record

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) * 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!

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Has Ford posted this job before?

Yes. We’ve followed one other Data Scientist (LAP) job there since October 2026. It came down after 14 days.

  1. LouisvilleCame down after 14 days, first seen Oct 7
  2. This jobUp 7 days so far, first seen Oct 29

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

View original posting ↗

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. #LI-Onsite #LI-JL1
Source details

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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, US

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.

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