Job Description

Job Responsibilities:

• Conceptualize data use cases with business users and conduct tech assessment and define measurements of success for data use case.
• Develop machine learning models for predictive modelling, NLP models, text analytics and operational analytics.
• Manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions
• Interpret and analyse data using exploratory mathematics and statistical techniques based on the scientific method
• Perform Machine Learning model testing
• Explain and interpret model results
• Incorporate new data sources and implement creative methodologies to improve model performance.
• Build production systems that take inputs from multiple models and support decision making.
• Build, validate, test, and deploy models and algorithms

• A degree in Computer Science, Applied Math, Statistics, or Industrial Engineering. A relevant Master’s degree (or higher) is highly regarded.
• 5+ years of work experience involving quantitative data analysis and complex problem solving.
• Experience with model monitoring techniques, and implications for retraining decisions
• Familiar with MLOps ecosystem tools & process
• Clear communicator, happy with distilling and effectively simplifying complex MLOps topics to audiences of a broad technical knowledge range
• Complete command of SQL, Python, Spark and Hadoop frameworks along with some experience with Tableau. Proficiency with similar BI and visualization tools is also transferable.