• Model building using Python
• Data restructuring and transformation for large inter-connected data sets
• Harness machine learning and statistical modelling with a view to develop new insightful products
• Identifying, assembling, and enriching a wide range of structured and unstructured data to support new automotive forecasts and analysis
• Data wrangling and data mining to support product innovation and model creation
• Optimizing efficiency using cutting edge data science techniques (e.g. NLP, Deep Learning)
• Build/maintain ETL infrastructure

Qualifications and skills

• 3+ years experience as a data scientist
• Degree in Computer Science, Statistics or related quantitative field
• Expertise in programming/scripting within Python is a must
• Well-organized, structured approach to problem-solving
• Proven experience with SQL and NoSQL databases
• Ability to build models (e.g. Linear regression, ARIMA, KNN, Logistic, Classification and Regression Trees, Naive Bayes) with a view to solve complex high dimensional data
• Hands on experience with AWS is desirable
• Familiarity with data science platforms such as KNIME is a bonus
• Knowledge of OLAP and ETL processes
• Good communication skills, collaborative team spirit, curiosity to constantly keep thinking of unique approaches and solutions.
• Ability to work independently.