Data Scientist - Fuel Pricing

Published: 9 November 2022

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Data Scientist - Fuel Pricing
Location: Asia (Remote)
Duration:
6 months

Role Summary


Working in a multidisciplinary team, you'll often start by looking at a business problem statement and then start experimenting with different modeling approaches to developing industrialized applications powered by Machine Learning.


Role Responsibilities:

Common tasks you’ll focus on will include:

  • Contributing towards potential solutions to a range of business problems using Data Science.
  • Developing experimental models and machine learning applications in Python alongside our ML Data Engineers (who build the data pipelines to ensure quality).
  • Deliver production Machine Learning models which can support a broad range of initiatives.
  • Complex statistical analysis.

Required Skills:
  • Experience working as a mid to senior-level data scientist in a commercial environment.
  • Ability to work with business stakeholders, understand their issues and help devise solutions using the relevant data and platforms.
  • A strong commercially applied knowledge of Statistical Modelling and/or Machine Learning techniques is required such as: regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing.
  • An intermediate to high level of skill programming using Python is required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas, scikit-learn, matplotlib.
  • Intermediate-Advanced level of skill using SQL.
  • The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partner's decision making is key to the success of our projects

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