Data Scientist (LAP)
Ford Motor Company
Louisville, KYFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- Data visualizationPythonFlaskFastAPIPyTorchTensorFlow
- Nice to have
- Machine learningStatistics
- Work
- On-site in Louisville
- Pay
- Not stated by the employer.
- Skill demand
- Python82%Data visualization36%FastAPI2%Flask1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
We are seeking a highly analytical and results-oriented Data Scientist to leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. You will be proficient in the end-to-end data science lifecycle, from data ingestion to advanced ML modeling and the development of interactive UIs and dashboards. You will be passionate about translating complex industrial data into actionable insights for smart factory initiatives.
Key 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.
Requirements & Tech Stack
- 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
- 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
Qualifications
- 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.