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Data Scientist Job from TelecomCareers
Data Scientist | A Global Engineering Firm | Boulder CO 80329 USA |
Job Description:
In this role, the selected candidate will interpret and perform analysis on operational data collected from digitized field services; design and build new data set processes for modeling, data mining, and production purposes. Blue Line Talent is seeking a Data Scientist with strong experience with BI tools, database and data engineering skills for this full time permanent position in downtown Boulder. Job Title:  Data ScientistWork Location: Downtown BoulderThe Client:• A global provider of engineering services. • Established, growing, and diverse engineering leader.• Employee-oriented engineering firm with comprehensive benefits.Position Details:• Interpret and perform analysis on operational data collected from digitized field services.• Devise ways to analyze and interpret data by developing algorithms, predictive models, and custom analysis.• Design and build new data set processes for modeling, data mining, and production purposes.• Develop high quality information presentations, including dashboards, reports, stories, and infographics.• Maintain standardized dashboards for customers, internal management, and project management.• Identify and suggest areas to enhance instrumentation and data collected by the field applications.• Participate in data engineering and development of useable, self-service business analytics.• Assist in design of data repositories for analytics and reporting.Experience Profile:• BS (higher preferred) in a related subject and ~5+ years of applicable work experience• Business intelligence tool experience (e.g., Tableau, Cognos, Qlik, PowerBi, LogiAnalytics, Domo, etc.).• Strong database skills - queries, aggregation, T-SQL/Transact SQL, PL-SQL.• Data engineering knowledge and hands on experience with DTL processes, optimal schemas for analysis and reporting.• Competencies in one or more advanced techniques for statistical analysis, Machine Learning, deep learning, neural networks, etc.• Flair for information design and presentation.• Some practical commercial experience with exposure to core business operations and finance concepts.• Excellent verbal and written communication skills • Stable record of direct employmentHelpful/Preferred:• MS or PhD in a related subject.• Academic focus in:  business, statistics, economics, econometrics, computer science, natural sciences, or math.NOTES:• This is a full time regular position • Not available for Corp-to-Corp, no third parties please• Local candidates please.
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Job Code: 32938213

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