Working schedule: Mon-Thu, 8.30 am to 6 pm; Fri 8.30 am to 5.30 pm
Job Responsibilities:
Assemble large, complex data sets from a wide variety of data sources
Responsible for data preparation and data mining to create/identify opportunities through analytics
Conduct exploratory data analysis and provide rapid iterations of analysis to refine the problem and identify potential solutions
Interpret and communicate analytical findings and insights to technical and non-technical stakeholders in order to assist in making data-driven decisions
Contribute to the development of data science infrastructure, tools, and frameworks for efficient data analysis, experimentation, and model deployment
Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards
Job Requirements:
Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar) with 3 years of relevant experience
Demonstrated experience with Python, R, or similar programming languages
Working knowledge of data analysis tools and databases
Strong analytical skills, with experience solving problems using data and providing practical business insights
Comfortable with dealing with sets of data points from different sources
Qualities of matured thinking, dependable and requires minimum supervision
Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders