Role Purpose:
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 impactful insights.
Key Accountabilities:
1- 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 analyze 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
* Understand, prepare, transform and analyze data to build actionable and impactful data science models that predict emerging trends and provide recommendations
2- Product Development & Testing;
* Mine and analyze 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.
* Develop processes and tools to monitor and analyze model performance and data accuracy.
3- Innovative Solutions;
* Keep up to date with latest technological innovations and solutions to evaluate impact to business
* Engage in code reviews to review, analyze, improve and share coding skills
* Propose digital innovative solutions which will improve the customer experience, optimize processes through automation, manage medical costs effectively and contribute in the growth of the business.
4- Proactive Management & Analysis;
* Conduct comprehensive audits and monitor for proactive management of application performance
* Analyze 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.
* Collect metrics of how applications are performing to monitor and troubleshoot runtime issues
Bachelor's degree in Data Science
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