We are a young company with a vision to bring Analytics to the mainstream. In this regard, we are working with some of the fortune 500 companies and servicing them using our global delivery model, we are also developing intellectual property that will put the power of Analytics in the hands of decision makers without requiring capital investments upfront, and we are promoting an ecosystem of thought leaders and practitioners in Analytics.

We are looking for folks with a passion for numbers and commitment to make a difference. In return you will enjoy the vibrancy of a young company, the opportunity to explore your full potential, and do things early in your professional life. Please review the open positions and call us to setup an appointment to speak directly to our hiring managers

Job Summary

Responsible for working closely with Business Analysts and Business Liaisons to define and execute statistical analyses, interpret results of analyses in reference to business impact, and effectively work in a cross-functional team environment.

What you get to do

	Apply statistical principles and techniques to a wide range of problems in the Sales and Marketing, Finance, and Human Resources and contribute advanced knowledge of statistics and regulatory guidelines to ensure the most optimized statistical methodology to be used in analyzing risks, trends, and patterns.
	Be responsible for the statistical designs of Analytical problems and create statistical documents including statistical analysis plan, and statistical programming plan with templates for tables, listings and graphs, etc.
	Ability to develop, test and validate hypotheses. Present statistical considerations at client meetings
	Lead statistics project teams, mentor junior statisticians, and participate in planning the professional growth of other statisticians

What you will need to make an impact

	The ideal candidate will have experience in data rich environment; global delivery experience will be preferred.
	Comprehensive knowledge/understanding of applied statistical principles and modeling in the design and analysis of business problems.
	Strong knowledge of statistical methods such as statistical process control, predictive modeling, hypothesis testing, sampling and design of experiments
	Proficiency in some of the statistical modeling techniques such as hypothesis testing, Regression analysis, Factor and Cluster analysis, Monte Carlo simulation, Control Charts, Time series analysis, CHAID/ CART, Predictive Modeling (e.g., choice, media, revenue, pricing and brand image modeling, customer behavior modeling such as satisfaction, purchase propensity, loyalty/lifetime value, system dynamic, operation research and econometric modeling)
	Ability to effectively collaborate, communicate, and influence throughout multiple levels of the organization.
	Education: MS or PhD in statistics or other related field with high statistical content