Responsibility:

• Build, deploy and maintain statistical and machine learning models to support business decision-making. Closely monitor product development cycle and provide data science solutions using big data.
• Apply ETL(extract, transform, load) and exploratory data analysis to generate insights and communicate results to business stakeholders.
• Recommend data-driven actions that resolve problems and enhance business growth, evaluate business solutions through correlation and causal analyses and other quantitative techniques.

Qualification and Skills:

• M.S./Ph.D. degree in applied mathematics, statistics, data science, economics, operation research, or a related quantitative field.
• Strong analytical thinking and communication skills.
• Experience in exploratory analysis, predictive analytics and Mathematical programming, experience in developing solutions using analytics
• Proficient in Python, R and SQL; Experience in Hadoop and relational databases, data warehousing
• Self-driven, highly motivated, candidates with strong publication records will have priority in consideration.