Data Scientist

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Corporate Summary
Established in 1972, Nutrisystem Inc. (NASDAQ: NTRI), was founded on the principle of helping people change their lives and is now the leading provider of home-delivered weight loss meal plans. Nutrisystem offers balanced nutrition in the form of low glycemic index meal plans designed for men and women, including seniors, vegetarians and the Nutrisystem® D® program for people with diabetes or at risk for type 2 diabetes. In 2012, Nutrisystem introduced a new in-store retail line, Nutrisystem® Everyday™ products, comprised of nutritionally balanced bars, smoothies, bakery and breakfast items aimed at consumers who aspire to eat healthier.

At Nutrisystem, we’re committed to helping people change their lives and believe that our dedication to success starts with the people who work for us. Our employees are talented, inspired and driven, in which we strive to maintain a workplace that honors those talents and hard work. Due to the enthusiasm and passion of our employees, Nutrisystem was recently named a National Strategic Partner of the American Diabetes Association, in recognition of its commitment to the mission and goals of the Association.
Headquartered in Fort Washington, PA (northwestern suburb of Philadelphia), Nutrisystem and its employees have truly made an impact by helping its customers’ lose over an estimated 71 million pounds in the past decade, and are now looking forward to helping America shed millions of more pounds in the years

Position Summary

The Nutrisystem Digital team has an opening for a craftsman skilled in Algorithm Development, Machine Learning and Large Scale Data Mining for making significant contributions to the new and ongoing strategic projects.

Essential Duties and Responsibilities

The person will be responsible for designing, developing and maintaining systems, in parts or in whole, involving some or all of the following techniques:
•Algorithm Development and Enhancement
•Machine Learning
•Large Scale Data Mining
•Network Analysis
•Information Retrieval
•Probabilistic Modeling
•Artificial Intelligence

These skills are required for developing predictive models of user behavior and intelligent recommendations, finding anomalies in data or transactions, Pattern Recognition, Language Processing and Mining structured, semi-structured and unstructured data. The person will get the opportunity to contribute to projects with very complex problems using machine learning and probabilistic modeling techniques. The position will be responsible for:
•Data Collection/identification from existing internal databases and external/public data sources
•Analyzing data to build analytical models for solving high-value business problems
•Implementing standard and proprietary algorithms for handling and processing the data
•Incorporating the algorithms in distributed and parallel software systems
•Writing infrastructural components of the solutions as needed
•Working with other engineers and managers to help identify viable solutions to business problems and implement end to end analytics solutions
•Other duties as assigned by supervisor or management

•Deep understanding of Algorithm Development
•Deep understanding of Machine Learning and Data Mining techniques
•Thorough knowledge of supervised and unsupervised modeling techniques
•Expertise in Object Oriented Development, Core Java, Python, Matlab/R
•Ability to build and interpret probabilistic models of complex, high-dimensional systems
•Working knowledge of SQL and NoSQL databases
•Experience working as part of an Agile / Iterative development environment
•Expertise using Linux and cloud environments
•Ability to build scalable systems to efficiently process and analyze very large data sets
•Ability to work with incomplete or imperfect data to extract usable information
•Ability to work independently and in a team to research and develop innovative solutions to challenging business/technical problems
•Attention to detail, data accuracy and quality of output
•Results oriented and deadline driven
•Excellent communication skills
Masters or PhD in Computer Science, Statistics or Mathematics
Desired Qualifications
•Expertise developing in Ruby on Rails is a big plus
•Hands on experience with Hadoop and related technologies
•Familiarity with popular tools and packages like Weka, Lucene, etc.
•Experience with Mahout is a big plus
•Knowledge of NLP, Machine Translation is a big plus
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