Data Scientist

Job Responsibilities:

• 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
• Incorporating new data sources and implementing creative methodologies to improve model performance.
• Helping build production systems that take inputs from multiple models and support decision making.
• Build, validate, test, and deploy models and algorithms.

The successful canddiate should possess:

• A degree in Computer Science, Applied Math, Statistics, or Industrial Engineering. A relevant Master’s degree (or higher) is highly regarded.
• 2+ years of work experience involving quantitative data analysis and complex problem solving.
• Complete command of SQL, and either Python, R, or Hadoop frameworks along with some experience with Tableau. Proficiency with similar BI and visualization tools is also transferable.
• Experience directly querying large data sets including email data, networks data, system logs data, customer usage data, third party data and raw data ingested from non-standard platforms.
• Experience with distributed analytic processing technologies (think Hive, Spark)
• Experience building and deploying analytic solutions as well as machine learning and/or optimization models in production.
• Experience with NLP and operational analytics is highly regarded.
• Experience with Azure cloud is a plus.