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Senior Data Scientist

Job Summary The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, in particular from the subdomains of machine learning, classification, cluster analysis, and data mining. Job Description Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives. Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business. Provide expertise in analyzing and visualizing large, complex, and unique data sets. Create new insights that will drive business growth and profitability in the short and long term. Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers. Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data. Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.   Qualifications Required: 6 - 8 years related experience. Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related discipline Experience with relational and non-relational databases. Strong experience with tools for managing, analyzing, and visualizing large datasets. Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++. Past success in extracurricular math/science activities or competitions is highly regarded. Creativity and persistence in locating, extracting and analyzing any and all relevant data. Problem solving versatility: making the best decisions possible given the data quality and time available. Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages. Preferred: Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc) Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users. Good working knowledge of PL/T-SQL Expertise w/ econometric and machine learning methods for predictive analytics Prior expertise w/ price elasticity of demand modeling Strong knowledge of optimization methods, feature engineering Culture of curiosity and perseverence in the face of messy data and complex business, information systems landscape Education Bachelors or Equivalent Masters or Equivalent
Salary Range: NA
Minimum Qualification
5 - 7 years

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