Principal Applied Scientist

Full Job Description

Master a broad area or research and understand any applicable research techniques. You'll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. Review business and product requirement, incorporate research, and provide strategic direction for problem solving. You'll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact. You'll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. Document work and experimentation results and share findings to promote innovation. You'll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) 5+ years of working in an AI research facility or working with software services / experiences infused with AI. Solid customer focus and passion for doing the right thing for the customer. Proven ability to establish trusted, effective relationships across diverse sets of stakeholders. Excellent communication skills and cross group collaboration. Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques. Experience in developing / working with highly scalable classifiers, ranking algorithms, SL PhD with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

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