Data Science Consultant

Data Science Consultants (DSCs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. 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 relevantinformation Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute toour analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework 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. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.