Description

This Principal Data Scientist will be responsible for developing analytical insights and/or statistical models that optimize business and marketing spend, identify new business/marketing opportunities and/or provide strategic direction to senior management.

This position will collaborate directly with business partners to play a key role in the development and application of models, insights and data intelligence that supports business and marketing programs, customer analytics and operational improvements.

Primary responsibilities include:

• Researching growing market trends and mine the Citizens data intelligence to develop new insights that can guide the strategic direction of the Citizens Bank lines of business
• Analyzing current business processes and programs and developing models/strategies/insights that can lead to a more optimal business performance and spend of marketing dollars.
• Documenting and communicating technical/analytic results for a non-technical audience

Location is not a barrier for this role and while our preference would be to have a chosen candidate with onsite capabilities in one of our corporate headquarters – we are open to remote employment within the United States for an experienced candidate.

Qualifications

Required Skills/Experience:

• 5 - 10 years of experience in Analytics/Database Marketing, with experience in Financial Services preferred
• 5 - 10 years of experience in SAS and/or related programming languages
• Strong written and verbal communication skills required with an ability to successfully communicate analytic results, business insights and resulting business implications to non-technical business partners
• Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology 
• Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, SAS, R, Python, Splus, etc.)
• Deep knowledge of a variety of statistical concepts and procedures, including generalized linear models, machine learning algorithms, experimental design, stochastic processes, markov process modeling, response surface methodology, and statistical graphics

Education, Certifications and/or Other Professional Credentials:

• Master's Degree in Statistics/Mathematics/Applied Math required, PhD preferred

This position is not available in Colorado. 

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