Key Responsibilities
- Develop and deliver synthesized research findings through developing state-of-the art machine learning algorithms and predictive models that support strategic business goals
- Hypothesis generation, test design, survey research and analysis
- Provide thought leadership on the strategy to implement best-in-class data analysis techniques and platforms within the organization
- Lead teams to setup, test and run big data analytics platforms
- Develop big data algorithms and statistical models for problem solving in real life projects
- Work across multiple global teams to provide advanced analytics support on client projects
- Conceptualize and lead the development of new products and solutions using advanced analytical techniques for implementation in profit enhancement projects
Minimum Qualifications:
- PhD with 6+ years of experience in Computer Science, Statistics, Applied Mathematics, Engineering or other quantitative field is highly preferred
- Strong mathematical background and hands-on experience in conducting statistical analysis, development of predictive models and machine learning algorithms
- Proven ability in applying theoretical knowledge in practical applications, data analysis, algorithmic prototyping, and data visualization methods
- Experience with Big Data tools Spark, Hadoop.
- Experience with statistical languages and packages (SAS, R, Matlab etc.,)
- Strong programming skills in C++, Python, and Java
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