Job ID:875790 Decision Scientist http://careers.microsoft.com/careers/en/gbl/home.aspx Interested in working on strategic initiatives that allow for creativity and room for growth? Are you an expert in statistical analysis? Are you a strong believer in using data to drive the best business decisions? Are you passionate about your work and believe you can make a difference? The Risk Analytics team is responsible for evaluating online transactions for potential fraud. Our job is to provide quantitative assessments of all customers and identify those individuals who pose the most risk to our businesses. We are currently looking for a high-caliber individual to join our team and to help create the most sophisticated analytic solutions aimed at minimizing risk for the company. The Decision Scientist would analyze, optimize and implement computational rules used to monitor and control activity on the Cloud and Enterprise Division’s (C&E) Commerce Platform (CP). We are looking for a customer- focused, detail-oriented, results-driven analytic professional with great communication skills and a strong knowledge of databases and statistical techniques that ideally has a background in the payments and fraud prevention space. Because of the number, complexity, and interdependency of rules, the optimization of rule sets is a non-trivial statistical, machine learning and text analytics problem that spans numerous databases and data dimensions. Responsibilities: 1. Use statistical techniques to design predictive models that detect fraud and other ecommerce risks. Iteratively test, refine, and improve the algorithms. In this role, the Decision Scientist will be required to be expert in building predictive, statistically valid models. 2. Implement and update computational rules to monitor and enforce Risk policies. Manage the day-to-day aspects of systems (SAS, data sources, workflow systems, etc.) to ensure that the modeling and production infrastructure is optimized. In this role, the Decision Scientist will work closely with developers and other data/systems providers (internal and external) to enhance systems and trouble-shoot data issues, etc. 3. Improve rule performance by analyzing misclassification cases, hit rates, and customer feedback. Organize, document and simplify rules. Contributes to global rule set by building best-practice rules and understanding international needs and Payment types. 4. Understanding partners’ business processes and recommend data attributes that can contribute to identifying risk and possible fraud. Collaborates with relevant team members, Developers and Program Managers to ensure rules are in alignment with business needs. 5. Assists the Software Development and Program Management teams in testing and deploying rule set. Requirements: 1. Master’s degree in Statistics, Operations Research, Machine Learning or other related fields (Ph.D. preferred) and a 1+ years’ related work experience. 2. 1+ years in database record manipulation (mainly SAS/SQL) and statistical modeling techniques (regression, CHAID, neural networks, cluster analysis, etc.). 3. 1+ years’ experience with a statistical programming package such as SAS/ SPSS/R is required. 4. Candidates must be able to pass a background examination. Preferred Skills: 1. Knowledge of and experience with hands-on modeling, optimization, and machine learning or text classification algorithms. 2. Strong understanding of predictive modeling, data manipulation, and import/export procedures within above mentioned packages is needed. Creation and understanding of macros is strongly preferred. 3. Additionally, the candidate must demonstrate high energy/creativity, a passion for analyzing highly complex data sets, strong communication, an entrepreneurial spirit, and superb attention to detail.