Data Scientist-Controls (LAP)

Ford Motor • Louisville, KY

66d • Onsite

About The Position

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage 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.

Requirements

• 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.
• Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI)
• SQL (Advanced querying, stored procedures, query optimization)
• Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc
• MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining
• 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
• Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN)
• Statistical Modeling, Hypothesis Testing
• Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh)
• UI/UX Design Principles for Data Applications Data Storytelling
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees