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.