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Data Scientist
Location : Illinois, Chicago
Refer job # LTRX338414
 
Job Responsibilities and Requirements: In the role of Senior Data Scientist you will be responsible for developing statistical and machine learning algorithms. Your role will combine a judicious and tactful blend of mathematical rigor, scalable software design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring data scientists. You will play a key role in building components of a framework or product while addressing practical business problems. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued. Multiple locations for this position across USA including San Francisco, Seattle, New York, Chicago etc. 80% travel might be required. U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Qualifications Basic - Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. - At least 7 years of experience with Information Technology OR Data Science Qualifications Preferred MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics 7 years using Python, Scala, Java or C for custom analysis of large text data Understanding of Information Retrieval basics such as precision, recall and relevance measures such as Tf-Idf Working knowledge of data structures, algorithms, regular expressions and code version systems such as Git or Subversion Practical knowledge of NLP topics such as Part of Speech (POS) tagging, Named Entity Recognition and syntactic parsing is desirable Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities: Clean up text data from various sources to make it suitable for Text and NLP Analysis by writing custom code in Python Collaborate with team members by documenting one s work and sharing code and approaches Refine the output based on feedback from NLP scientists or senior data scientists Analytic ability and flexibility in applying the appropriate technique for the tasks given the timelines The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.
 
 
 
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