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Company Overview:World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider. Through our culture of innovation we inspire, build and deliver business results, from idea to outcome. Based in St. Louis, WWT works closely with industry leaders such as Cisco, HPE, Dell EMC, NetApp, VMware, Intel, AWS, Microsoft, and F5, focusing on three market segments: Fortune 500 companies, service providers and the public sector. WWT employs more than 5,400 people and operates in more than 2+ million square feet of state-of-the-art warehousing, distribution and integration space strategically located throughout the world. WWT is proud to announce that it has been named on the FORTUNE "100 Best Places to Work For®" list for the eighth consecutive year and was awarded for multiple categories on Glassdoor’s 2019 Employees' Choice Awards, honoring the Best Places to Work. Job Title: Data Scientist ll (Hybrid role)Duration: 6 Month Contract to HireLocation – Prefer candidates local to AZ to work a Hybrid schedule and come to office when needed. Job Description: You will be a leader on a fast-growing team pursuing a vision of analytics-driven mining at Freeport. We collect vast, streaming data sets from our mines around the world by deploying sensor technology and the data infrastructure to support it. Now, we can use the richest data pool in our history to solve complex, meaningful problems. We seek bright individuals with a research and development mindset eager to apply their ideas in a real world, practical way. You will work in close collaboration with mining operations, subject matter experts, fellow data scientists, research institutions and senior leadership to develop advanced techniques in AI and ML as we work to create a Digital Mine. Candidates for this position must be prepared to lead project teams and mentor junior team members. Education and Work Experience Bachelor’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and seven (7) years of relevant work experience, OR Master’s degree in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience, OR Ph.D. in a technical engineering or analytical field (Statistics, Mathematics, etc.) or related discipline and two (2) years of relevant work experience Strong experience in at least two (2) areas of predictive modeling:AI, image/video/audio analyticsML, tree-based analytics, gradient boosting, NLP Simulations, reinforcement learning Time-series analysis, anomaly detection, signal processing Skilled with Python, R and SQL Experience with Big Data and cloud tools for machine learningPreferred qualifications you would like the candidate to have but are not necessary to perform the essential functions of the position. You are an analytics specialist who enjoys grappling with vast data sets, tapped from our long-standing investment in collecting and cleaning data.You are a quantitative maven who can build complex predictive models and unlock their value through Python, R, SQL and/or other rigorous analytical environments.You are a passionate coach who enjoys bringing the best out of junior teammates and invests in their skills and professional development.You have an agile mindset for iterative and incremental improvement You have a proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions You are ecstatic about modern technology and equipment You are enthusiastic about working with a global team