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Data Scientist at HCRX Solutions (Phoenix, AZ)

Job DescriptionPERFORMANCE WORK STATEMENTHire Demands, an EEO/AAP employer is seeking to hire a Data Scientist.Ideal Candidate: Has previous experience in Gold Mining IndustryLabor Category: Data Scientist IILocation: Phoenix, AZHCW Qualifications:Degree/Education/Experience: Bachelors degree in analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experienceOther:Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutionsProficient in predictive modeling:Linear and logistic regressionTree based techniques (CART, Random Forest, Gradient Boosting)Time-Series AnalysisAnomaly detectionSurvival AnalysisStrong Experience with SQL/Hive environmentsSkilled with R and/or Python analysis environmentsExperience with Big Data tools for machine learning, R, Hive, PythonGood communication skillsPreferred QualificationsDoctorate degree in an analytical fieldWilling and able to travel 20-30% or moreEqual Opportunity Employer/Protected Veteran/DisabilityJob DetailsSeniority LevelMid-Senior levelIndustry Mining & MetalsInformation ServicesInformation Technology & ServicesEmployment TypeFull-timeJob FunctionsInformation TechnologyProvide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.Work closely with business, engineering and technology teams to develop solution to data-intensive business problemsSupervise internal and external science teamsPerform quality control of deliverablesPrepare reports and presentations, and communicate with ExecutivesProvide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problemsUse statistical and programming tools such as R and Python to analyze data and develop machine-learning modelsPerform other duties as requiredJob Type: Full-timeSalary: $150,000.00 /year