Senior Data Scientist

Job Description Minimum Qualifications: Bachelor’s degree in Statistics, Finance, Math, Operations Research or other related filed. Master’s degree, MBA or professional qualification or any related discipline.  Additional qualifications and certifications in Analytics desirable. Minimum Experience:  Minimum of 6+ years of experience in banking with at least 4 years’ experience in data science role.  Good applied statistics skills, such as distributions, statistical testing, regression Knowledge, Skills, and Attributes:  Excellent understanding of machine learning techniques and algorithms  Proficiency in data visualization and scripting /programming languages – SQL/SAS/R  Exposure to Hadoop/ NoSQL databases preferred  Excellent verbal and written communication skills and the ability to interact professionally with non-technical partners  To be able to work independently on intermediate to complex level data gathering, checking, manipulating, and analysis tasks Self-motivated individuals who are independent and a self-starter and comfortable in a fast-paced environment  Ability to work in teams and in fast paced environments, multitask and respond in short timeframes  Demonstrate a proactive learning attitude along with a structured thought process  Ability to use visual data tools to present data clearly to non-technical audiences  Ability to tell stories with data using data visualization software such as Excel, R ,SAS, or similar software in conjunction with strong verbal ability  Hands-on experience with multivariate analysis, statistical models, time series analysis, information theory, machine learning, clustering, and/or dimensionality reduction techniques in financial services, customer analytics, or similar domains