Data Scientist (LAP)

Lincoln Motor Company; Louisville (KY); On-site; USD 87,000 - 145,000; Full time

Benefits offered by this job

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Family and back-up care benefits

Job summary

Lincoln Motor Company in Louisville, KY is seeking a Data Scientist for end-to-end analytics, from ingesting IIoT data to processing in Google Cloud Platform, building ML models in Python and SQL, and delivering results through dashboards and visualizations.

You will work with manufacturing data to support operational improvements, validate models, and communicate findings clearly across cross-functional stakeholders.

Qualifications

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

Responsibilities

• Develop and validate machine learning and statistical models aligned to business strategy.
• Collect, manage, and analyze structured and unstructured data to power reporting and analytics.
• Research and apply analytical methodologies and techniques to improve outcomes.
• Partner with cross-functional teams to define objectives and produce actionable insights.
• Interpret analytical results and present them to others.
• Create comprehensive reports, projections, and visual presentations.
• Follow established guidelines and contribute to strategic discussions.

Skills

Python

R

SQL

Machine learning

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Dash

Streamlit

Tableau

Power BI

Job description

Join Ford’s Manufacturing team and help turn Industrial Internet of Things (IIoT) signals into practical insights. This on-site full-time Data Scientist role focuses on end-to-end analytics, from ingesting MQTT data to processing in Google Cloud Platform (GCP), building machine learning models in Python and SQL, and delivering results through interactive dashboards and visualizations.

You’ll work with manufacturing and automation data to support operational improvements and develop intelligent solutions. The role emphasizes validating models, analyzing both structured and unstructured datasets, and communicating findings clearly across cross-functional stakeholders.

Responsibilities

• Develop and validate machine learning and statistical models aligned to business strategy.
• Collect, manage, and analyze structured and unstructured data to power reporting and analytics.
• Research and apply analytical methodologies and techniques to improve outcomes.
• Partner with cross-functional teams to define objectives and produce actionable insights.
• Interpret analytical results and present them to others.
• Create comprehensive reports, projections, and visual presentations.
• Follow established guidelines and contribute to strategic discussions.

Requirements

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

Technologies you may work with

Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Dash, Streamlit, Flask, FastAPI, SQL, stored procedures, query optimization, GCP (BigQuery, Google Cloud Storage, Vertex AI, Dataflow, Pub/Sub, Dataproc), MQTT, ETL/ELT, IIoT, Rockwell Automation ecosystem, ControlLogix, PLCs, VFDs, Studio 5000, time-series analysis, classification, regression, clustering, OPTICS, DBSCAN, Tableau, Power BI, Looker, Bokeh, Git, Agile.

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, and subsidized back-up childcare
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members, plus 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

Location: Louisville, KY (on-site)
Salary: USD 86,600 to 144,900 per year
Job Type: Full time
Work Type: On-site