Data Scientist (LAP)

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.