大数据建模岗位，base北京

在中行驻场工作，一年合同，表现突出可以转permanent。工资社保之类按北京政策。 简历请发sdx0112@gmail.com JD: Responsibilities Directing the execution of multiple medium to large analytic projects along with rest of the stakeholders in the Analytics & Data Products team Collaborating with the internal teams to fully understand business requirements and desired business outcomes Defining detailed analytic scope and methodology, and creating analytic plan　 Executing on the analytic plan with appropriate data mining and analytic techniques　 Performing QA on data and deliverables by analysts and own deliverables　 Ensuring all project documentation is up to date and all projects are reviewed per analytic plan　 Ensuring project delivery within timelines and budget requirements　 Building on team’s analytical skills and business knowledge　 Work as independent contributor mostly and as a team lead if needed by providing guidance to other team members where needed Enhancing existing analytic techniques by promoting new methodology and best practices in analytics field　 Providing subject matter expertise and quality assurance of complex data driven analytic projects
Technical Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience preferred Minimum of 3-4 years of analytical experience in applying statistical solutions to business problems for Master’s Degree, no working experience required for Ph. D Degree Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive　 Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling etc., Evolutionary Algorithms(e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks etc. Working knowledge in advanced data mining and modeling: Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques (e.g., CART, CHAID)　 Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders　 Demonstrated ability to innovate solutions to solve business problems　 Business Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor　 Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred　 Understanding of Cards/Payments and Banking business model would be a plus　 Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels　 Detailed oriented, is expected to ensure highest level of quality/rigor in reports & data analysis　 Proven skills in translating analytics output to actionable recommendations, and delivery　 Experience in presenting ideas and analysis to stakeholders　 Exhibit intellectual curiosity and strive to continually learn