Specialist – Data Science

To develop Machine Learning Models for different business units and have experience in understanding, prioritization and delivery of data science projects that drive business results and have a passion for discovering solutions hidden in large data sets and working with stakeholders to deliver actionable and impact insights

Develop Machine Learning

• Build, implement and hand-hold various analytical and modelling initiatives
• Develop custom data models and algorithms to apply to data sets.
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Deliver various predictive and prescriptive analytics using cases, data discovery, data preparation, cleaning, model validation, and evaluation
• Communicate complex quantitative analysis in a concise and actionable manner using data visualization
• Build models that can make good predictions, evaluate model performance and tune it accordingly
• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
• Machine learning, predictive analysis and decision optimization to be applied to real-world business problems

Product Development & Testing

• 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 A/B testing framework and test model quality.
• Use multiple techniques for testing and validation of Models and increase and optimize the efficiency
• Coordinate with different functional teams to implement models and monitor outcomes.

Innovative Solutions

• Keep up to date with latest technological innovations and solutions to evaluate impact to business
• Engage in code reviews to review, analyse, improve and share coding skills

Proactive Management & Analysis

• Conduct comprehensive audits and monitor for proactive management of application performance
• Analyse errors and performance logs using analytic tools to help teams efficiently prevent any issue that may arise
• Investigate server response times by logging and reporting matters such as slow queries, integration responsiveness, or custom code request time.

• R, Python
• C
• Java
• SQL
• Jupiter
• Tensor Flow
• SAS or Rapid Minder is a plus.
• Spark
•  Kafka in a Big Data environment.