31 Oct
Data Scientist
Washington, Redmond , 98052 Redmond USA

Vacancy expired!

RESPONSIBILITIES:Kforce has a client in search of a Data Scientist in Redmond, WA.Summary:The Data Scientist works on a team using statistical, mathematical, and predictive data models to bring insights and answers to complex business questions. They will apply their advance analytics and solution engineering skills to data to build solutions. They will work on data sets from various sources and focus on solving applied problems using Natural Language Processing, Text Mining, Data Mining & Machine Learning.Key Tasks: Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, computational algorithms, and data science techniques Participate in and lead the running of experiments and documentation of results in technical or research whitepapers Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues Conduct statistical modeling and experiment design, test and validate predictive models Conducts scalable data research, on and off the cloud Develop custom algorithms to solve analytical problems with data sets Implement automated processes for scaling models Build and maintain data pipelinesREQUIREMENTS: 3-5 years of experience A blend of experience in science and engineering skills, and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desiredKforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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