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Data Scientist
Ref No.: 18-07964
Location: Framingham, Massachusetts
Position Type:Contract
Experience Level: 3 Years



JOB DESCRIPTION:
Client is looking for an intelligent, motivated and experienced Data Scientist to join our growing team. Every day we are busy mining data, performing ad hoc analyses, recommending product, analyzing profitability, building dashboards and interacting with every part of our business.
We need a talented individual who can help us move to the next level in all aspects of the data science realm including programming, quantitative expertise and business expertise.

RESPONSIBILITIES:
This position is for a hands-on Data Scientist who is as excited to create critical dashboards and quick ad hoc analyses as they are to run a regression model or work with personalization data. Position will link our complex, predictive analytics with short and long-term business strategy to optimally drive profitable sales. It requires a person who is comfortable being neck-deep in data, and understands that complex models come after a deep understanding of the data and the business. Specifically, the person in this position will help us define and build complex dashboards which will lead to insights and more complex analyses. They will help us build business cases for big data technologies. They will be in constant contact with our business partners, ensuring their questions are answered accurately with the best data driven answers we can provide. The Data Scientist will teach, mentor and provide an open work environment for everyone on our team.

QUALIFICATIONS AND EDUCATION REQUIREMENTS:
A Qualified applicant will possess the following:
• An MA/MS or above in Mathematics, Statistics, CS or another quantitative field
• 3+ Years' experience in an Analytics/Data Science Role
• SQL Experience, preferably with SQL Server
• Experience with R/Python or another programming language (C++, SAS, Matlab etc.)
• Experience with well-known quantitative techniques such as regression, significance testing, multivariate analysis
• Demonstrated application of advanced techniques in a business setting with impactful results
• Detail oriented, comfortable digging into code and working with imperfect data sets
• Excellent communication skills and a "can do” attitude are a must

ADDITIONAL QUALIFICATIONS:
• Ecommerce or retail analytics experience
• Experience with financial data and finance teams
• Experience with at least one of the following: Bayesian methods, optimization, personalization models, machine learning
• Real world experience with cloud based big data technologies