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Data Scientist (LAP) at Ford Motor Company, Louisville, KY

Data Scientist (LAP) at Ford Motor Company in Louisville, KY. Est. up to $200k. Apply with swipeandhired.

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

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