A leading B2B global company is looking for an experienced Data Scientist for a temp position of about 6 months (Maternity leave replacement).

In this role, you will work on a scheduling and optimization engine that synchronizes systems tasks. You will lead the initiative on how to utilize the data to bring additional value to the business. You will work on the entire lifecycle including data collection and cleansing, feature engineering, modelling, preparing for deployment, monitoring and analyzing the model’s performance.

Responsibilities:

• Explore and visualize data, identify anomalies and unusual events,
• Build statistical models for parameters required for the optimization and scheduling engine.
• Use the data to investigate human behavior.
• Build predictive models for delivery times using time series and tabular data.
  
  

You will work closely with software developers building the optimization engine, product owners and the operation team and you will be supported by the data science team.

Requirements:

• Bachelor of science/engineering/software degree, an advantage to MA in the field.
• 3 years analyzing data (time series/tabular) and building statistical models
• 3 years of experience on training and evaluating regression and classification models e.g. polynomial regression, decision trees, SVM
• Experience with shell scripting, AWS/Azure/GCP, SQL, Linux - advantage
• Programming experience: Python – Must, (R, SQL, Julia, Go, other languages are also well regarded
• Knowledge and experience on predictive analytics e.g. labor and sales forecast - advantage
• Knowledge on Bayesian modelling – advantage