Work with clients, managers and technical staff to understand business needs and develop technical plans to deliver results.
Develop, deploy, and implement predictive models and protocols for mining production data sources.
Appropriately deliver existing analytic methods and tools; applying theory to practice.
Learn new analytic methods and tools as needed.
Create analytic models and test hypotheses collaboratively in a rapid-paced work environment to meet client needs.
Be accountable for data science solution delivery and code quality check including providing detailed and constructive design and code reviews.
Help establish standards in machine learning and statistical analysis to ensure consistency in quality across projects and teams.
Lead data science consulting engagements on the ground.
Requirements
Have a strong foundation in statistics and data analytics with expertise in survey research and statistical modeling.
Be able to create structure out of semi-structured and unstructured data using one or more data science toolkits such as Python, Machine learning and Natural language processing.
Familiar with applied statistics such as probability distributions, measures of dispersion and central tendency, hypothesis testing and statistical inference.
Have a keen understanding of the business value perspective on predictive analytics; Have experience deploying and monitoring predictive models.
Possess excellent oral, written communication, presentation, and analytical skills.
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