Do you want to be part of a team that is passionate about transforming data into insights and action? Are you interested in working across engineering, marketing and sales teams to drive user satisfaction, usage and revenue? Would you want the opportunity to impact millions of people and millions of revenue while working in one of the most 'data rich' products, having unlimited access to BI and AI technology and compute capacity? If yes, then read on! The Microsoft Cloud and Enterprise, Business Applications Group is looking for a top-notch, experienced, hands-on data scientist with experience analyzing SaaS data and an analytics determination. Someone who is driven, self-directed, and focused on delivering the right results through data. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of questions and power operational triggers with a measurable impact within the Dynamics 365 business. Our team was established to provide
Applying statistical and machine learning techniques to problems like forecasting, customer/user segmentation/classification, and fraud detection Understanding the data generated by experiments, and producing actionable, trustworthy conclusions from them Taking complex problems and the associated data and giving the answers in a concise form to assist the team in making key business decisions Present findings and recommendations to key decision makers at various management levels Use and promote data-exploration techniques to discover new or previously unasked questions Proactively find ways to
Required: PhD in Data Science, Operational Research or related field 3+ years of hands-on experience with data science and analytics in a business context Preferred: Experience with product and service telemetry systems Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, regression, classification Experience working independently and as part of a team to traverse tougher analytical questions Experience working with unstructured big data Data hacking skills and knowledge of analytical programming languages like R or Python Enjoy discovering and solving problems;