Marketing Data Scientist/Sr Associate-Home Lending

This Marketing Data Scientist – Senior Associate position will be part of CCB Data & Analytics Team, reporting to one of our Executive Directors or Vice Presidents of Home Lending Decision Sciences.   Home Lending Decision Sciences provides analytics, business intelligence, and modeling support to drive Home Lending’s acquisition, sales, marketing, and retention strategies.  This role is a combination of consulting (problem solving and client interaction) and leading the development and implementation of analytics throughout the Home Lending line of business.  The successful candidate will be analytically/technically strong, will have great communications skills, and a collaborative and resourceful style.

Primary Responsibilities:

·         Independence and technical proficiency in:

- Developing insights, methods or tools derived from large datasets using various analytic methods such as predictive modeling, text mining, machine learning statistical forecasting, optimization, simulations etc.

- Handling data from multiple sources and disparate databases to construct conclusions and strategies

- Analyzing data to explore improvement opportunities, assessing strengths through confidence of data

inputs, identifying data defects, recognizing statistical anomalies and linking data to business processes

·         Works independently with program and communication oversight

·         Comfortable meeting with internal clients

• Accountable for own work product
• Comfortable communicating complex analytical results
• Deliver tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques
• Provide subject matter expertise for data driven decision and opportunities
• Partner with a variety of internal and external clients to solve quantitative problems related to optimizing business processes and performance
• Interact with senior leaders within CCB organization to drive and develop business strategy and performance
• Align with data owners and department managers, contribute to the development of data models and architecture for analytics

Qualifications:

• PhD (or Masters) in a related field (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent
• PhD with at least 2 years of advanced analytics experience (5+ years if Masters or equivalent)
• Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms and data structures with an ability to influence both internal & external business partners
• Hands-on experience in delivering analytics and insights to multiple levels of management
• Exposure to forecasting and planning functions and processes
• Tangible experience with business strategy and tactical implementation
• Proficient in standard data mining and analytical methods
• Proficiency in data analysis languages such as Python, SAS, Java, R, JavaScript, C++, Scala etc.
• Experience in Big Data platforms such as Hadoop, Hive, Pig, Apache Spark etc.
• Strong analytics, interpretive and problem solving skills
• Expert in time series analysis, unsupervised and supervised learning algorithms, dimensionality reduction techniques
• Technical understanding of data extraction, transformation and load processing
• Experience with dynamic and interactive reporting applications
• Consulting orientation ability to influence both internal & external business partners