Director - Data Science - Automotive - PhD

This role will work directly with executive leadership, engineers, product managers, and operations teams. You are responsible for extracting high-impact insights from our vast collection of data by:

- Creating novel features and models and analyzing their performance

- Deploying production systems that deliver continuous insights

- Quantifying impact using statistical methods, data mining, and experimental design

- Communicating results to stakeholders

- The ideal candidate for this role is passionate about the Automobile Industry, has a track record of discovering insights from massive data, and works to discover and address customer needs through their output.

- Train and deploy models that provide meaningful insights

- Develop statistical models, and perform predictive experiments.

- Design, validate, and deploy new features from multiple data sources.

Qualifications:

- A Masters's or PhD degree or equivalent experience.

- 5+ years post-academic experience in data science, machine learning, or a closely related field.

- Significant statistical experience in data-intensive on-line systems.

- Experience deploying feature and model pipelines at scale, and monitoring model performance.

- Experience designing, training, and critically analysing ML models for big data.

- Experience developing and maintaining automated reporting tools for management and other stakeholders.

- Productive in both SQL and Python.