Data Scientist

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

Benefits offered by this job

Medical and dental coverage

Vehicle discount program

Tuition assistance

Paid time off

Paid holidays

Job summary

Ford Motor Company in Louisville, KY is seeking a Data Scientist to help the Manufacturing team turn IIoT data into measurable operational improvements. This on-site role focuses on end-to-end work, from ingesting streaming data via MQTT and cloud processing on Google Cloud Platform to building machine learning models and delivering interactive dashboards.

You will develop models with Python, SQL, and ML libraries, build data pipelines, and create visual reports using Tableau, Power BI, Looker,

Qualifications

• Bachelor’s degree in quantitative field or 5+ years in Data Science/IT/Statistics.
• Proficiency with Python, R, SQL (or similar tools).
• Experience building ML models and handling structured/unstructured data.

Responsibilities

• Develop ML and statistical models to support strategic objectives.
• Build data pipelines (ETL/ELT) and preprocess data for analytics.
• Create dashboards and visualizations with Tableau/Power BI/Looker.

Skills

Python

SQL

R

Machine learning

Communication

Education

Bachelor’s degree in quantitative field

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Dash

Streamlit

Tableau

Power BI

Looker

Job description

Ford Motor Company is hiring a Data Scientist to help the Manufacturing team turn IIoT data into measurable operational improvements. This on‑site role in Louisville, KY focuses on end‑to‑end work, from ingesting streaming data through MQTT and cloud processing on Google Cloud Platform (GCP) to building machine learning models and delivering interactive dashboards and UI experiences.

What you’ll work on

In this position, you will leverage data from manufacturing environments to develop intelligent solutions and support business strategy. The work spans the full data science lifecycle, including data pipelines (ETL/ELT), data cleaning and preprocessing, and advanced analytics and modeling.

• Build and validate machine learning and statistical models to support strategic objectives
• Gather, manage, and analyze structured and unstructured data for reporting and analytics
• Research and apply analytical methodologies and techniques to solve operational problems
• Collaborate with cross‑functional teams to define objectives and produce actionable insights
• Interpret and present analytical results to diverse audiences
• Create comprehensive reports, projections, and visual presentations
• Follow established guidelines and contribute to strategic discussions

Core responsibilities

• Develop solutions using Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and SQL
• Use GCP services such as BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, and Dataproc
• Work with data pipelines and integration patterns (ETL/ELT, data cleaning, integration, data mining)
• Apply IIoT concepts and manufacturing environment data to quality control and process optimization
• Use dashboarding and visualization tools such as Tableau, Power BI, Looker, and Python libraries including Dash, Streamlit, and Bokeh
• Support API development responsibilities (basic)

Skills and qualifications

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

Tools you’ll likely use

Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Dash, Streamlit, Flask, FastAPI, SQL, GCP (BigQuery, GCS, Vertex AI, Dataflow, Pub/Sub, Dataproc), MQTT, ETL/ELT, Tableau, Power BI, Looker, Bokeh, PowerShell, Data pipelines, and version control with Git. Conceptual understanding of Rockwell Automation ecosystem components (ControlLogix, PLCs, VFDs, Studio 5000) is also mentioned.

Compensation and schedule

• Salary: USD 86,600 - 144,900 per year
• Job type: Full time
• Work type: On‑site

Benefits at Ford

• 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, including 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