Senior Data Scientist

Required Experience

• Strong experience delivering machine learning solutions in production environments.

• Advanced Python and SQL skills.

• Should have experience in Jupyter Notebook
• Worked with interacting with Big Data/Date Lake systems

• Experience with forecasting and time-series modelling.

• Experience working with large and complex datasets.

• Strong problem-solving and stakeholder management skills.

• Ability to work independently with minimal supervision and quickly become productive in an existing codebase and product area.

NICE to have

• Pyspark and AzureML

• AI driven development

Expected Outcomes

• Independently deliver assigned roadmap and BAU work items.

• Contribute to enhancement and support of existing Commodities data science products.

• Capable of defining problem statement given the opportunity in commodities area

• Identify and implement model and process improvements.

• Provide technical contribution on day-to-day data science delivery activities.