Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of 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 modeling 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 analyze model performance and data accuracy.
Requirements:
Candidate must possess at least a Bachelor's Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology or equivalent.
At least 1 year(s) of working experience in the related field is required for this position.
Have rich experience on database implementation and master tools such as MySQL, PostgreSQL
Have practiced experience in Python writing, especially for data cleaning, modeling, logic algorithm and machine learning
Be familiar with Hadoop and Spark
Solid skills in Tableau or PowerBI Visualization tools is preferred
Strong troubleshooting as well as problem analytical and solving skills.
Excellent team spirit with good communication, interpersonal skills and team collaboration.
Ability to perform statistical analysis, including description, dimensional reduction and linear models.