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Data Scientist
TD Bank
New York, NY, United States
Job Details - this job has expired, please see similar jobs below
Hours
40
Job Description
This role will be a critical component of Marketing Advanced Analytics team with in marketing that will have hands on experience and subject matter expertise on modeling forecasting & Data Science
Job Requirements
Design, develop and implement various statistical and forecasting models to optimize different Direct to consumer, Media & Digital campaigns, risk, and response and customer value
Build predictive models using machine learning and statistical techniques and led applications of predictive modeling techniques for complex business problems such as multi-channel effectiveness, customer lifetime value modeling, social media sentiment analysis, digital marketing channels, Propensity models, media mix modeling and churn modeling
Provide leadership and creativity by using advanced quantitative methods to identify opportunities that bring value to the business and influence decision making.
Lead all analytic/modeling projects and provide solutions to the business problems facing across the cross functional department
Own and manage model governance, and all regulatory affairs such as compliance approval process to make sure all the built models are in compliance with current banking rules and regulations
Synthesize data and analytical methods into actionable business strategy and communicate findings to business partners and executive management team
Technical Skills: Requires an expert programming and modeling skills (e.g. expert in statistical/econometric and machine learning software such as Base SAS, SAS EG, SAS EM, R, Python, Hadoop, Hive, Spark etc.) and database knowledge and query languages (e.g. Oracle, SQL etc.)
Must be eligible for employment under regulatory standards applicable to the position.
Inclusiveness
At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live in and serve, and creating an environment where every employee has the opportunity to reach her/his potential.
EOE/Minorities/Females/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity.