Responsibilities:

• Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner;
• Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
• Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;
• Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform.

  Qualifications:

• Bachelor’s or master’s degree in Computer Science (or Statistics), and strong academic performance with analytic and quantitative cousework is required;
• Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
• Knowledge of programming (e.g. Java/Python/R);
• Exposure to tools/platforms (e.g. Hadoop eco system and database systems);
• Excellent oral and written communication skills;
• Strong attention to detail, with a research-focused mindset;
• Excellent critical thinking and problem solving skills;
• High motivation, good work ethic and maturity.