Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, business partners, and Product Managers. Conduct written and verbal presentations to share insights to technical or business audiences of varying levels. Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems. Apply statistical and machine learning knowledge to specific business problems and data. Build decision-making models and propose solution for the business problem you define. Supports the prioritisation of both internal and external data assets and works with technology in setting key requirements for data sourcing

Desired Candidate Profile

Qualifications

Master s or Bachelor s (or equivalent) in quantitative fields like Mathematics, Statistics, Economics, Computer Science or Engineering

Proficient in statistical packages and ML libraries (e.g. R, Python SciPy and NLTK, Spark MLlib, etc)

Familiar with leading visualisation tools (e.g. Tableau, Qlikview)

Familiar with implementing data transformations and algorithms in common programming languages

Strong communication skills with prior experience communicating analytics results to senior management