Opportunity to work on a role providing an accelerated career pathCompetitive Compensation and Learning OpportunitiesAbout Our Client
They are a leading global automobile manufacturing company. Its diverse portfolio includes an extensive range of cars, sports utility vehicles, trucks, buses, and defence vehicles.
Job Description
- Develop and drive complex projects using advanced analytic techniques.
- Use statistical and machine learning / deep learning to build supervised, semi-supervised, and unsupervised models per business need
- Comfortable with open-ended problems. Be able to frame your own hypothesis, create meaningful metrics, and select the modelling approach.
- Translate conceptual questions into data-driven analyses to allow leaders to make informed decisions.
- Ability to extract and clean data from a variety of structured and unstructured sources and do data wrangling.
- Build Statistical and machine learning / deep learning to build supervised, semi-supervised and unsupervised models
- Monitor the results of statistical models through the use of dashboards and ad hoc analyses.
- Effective communication skills, both written and verbal; ability to "tell the story" and develop executive level presentations with guidance.
The Successful Applicant
- Strong Proficiency in programming in R, Python
- Strong understanding of statistical analysis, predictive modelling and data engineering techniques
- Deep understanding of statistical and machine learning / deep learning to build supervised, semi-supervised and unsupervised models