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Marketing Data Scientist/Associate- Home Lending

Req #: 180015534
Location: Columbus, OH, US
Job Category: Marketing/Communications
Job Description:

Marketing Data Scientist Associate

Description

 

This Marketing Data Scientist – 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:

·         Technical proficiency (with oversight) 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

 

·         Independent and reliable execution with task, project, and communication oversight

·         Comfortable communicating analytic results with supervisor

  • Ability to communicate complex analytical results
  • Accountable for own work product
  • Deliver tactical and strategic marketing, sales, finance, and business insights through analytics, reporting and state of the art visualization techniques
  • Partner with a variety of internal and external clients to solve quantitative problems related to optimizing business processes and performance

 

Qualifications:

  • PhD (or Masters) in a related field (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent
  • PhD or Masters (or equivalent) with (2+ years relevant work experience)
  • 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.
  • 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
  • Strong analytics, interpretive and problem solving skills
  • Technical understanding of data extraction, transformation and load processing
  • Experience with dynamic and interactive reporting applications
  • Strong written and oral presentation / communication skills – the ability to convey complex information simply and clearly to senior business leaders
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