Responsibilities

• Work with stakeholders/clients to identify opportunities for leveraging company data to drive business solutions
• Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyse model performance and data accuracy
  

Qualifications

• Graduate or Post Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or related quantitative fields
• Knowledge of advanced statistical techniques and concepts (regression, constrained optimization, sentiment analysis, graph community detection, etc.) and experience with applications
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
• Strong problem-solving skills with an emphasis on product development
• Excellent written and verbal communication skills 
• A drive to learn and master new technologies and techniques
• Experience with distributed data / computing tools: Hadoop, Kafka, Attunity, Dask, Spark, etc. is a plus
• Experience developing and/or deploying in environments (AWS, GCP) and containerization techniques (Docker, Kubernetes, AWS Elastic) is a plus

Leads

• Experience working with and creating data architectures
• Experience in the design, planning, and implementation of data science projects
• Experience creating and using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) is a plus.