Data Scientist

Associate / Junior


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Meytier Partner

Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Data Scientist to work cross-functionally to design, develop, and deploy analytic data products that directly help the bank provide value-added service to our customers.

Key Responsibilities:

  • Partner with business stakeholders committed to leveraging the power of advanced analytics to improve processes & outcomes
  • Integrate expertise in data, statistics, and technology with a curiosity for learning the business and a passion for solving problems
  • Prepare and analyze data to test hypotheses regarding actions the business can take to lead to improved business outcomes
  • Assist with efforts to build and deploy statistical and machine learning models and build processes to evaluate and optimize model performance over time
  • Communicate analytical insights as a clear and approachable story, reducing complexity as appropriate for different audiences
  • Maintain a mindset aligned to Citizens’ commitment to an Agile operating model and to managing data as a product.

Desired Profile:

  • Master’s degree in statistics, economics, analytics, data science, or related field
  • 1-3 years of experience in preparing raw data for analysis and extracting useful information by applying advanced technical and statistical programming techniques
  • Proficient in Python and SQL
  • A solid understanding of statistical and machine learning methods and algorithms
  • A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment; flexibility to take on new roles and responsibilities as initiatives evolve
  • Ability to work in a high-performance professional environment, with quick turn-around and evolving priorities
  • Commitment to intellectual rigor and observance of compliance and data privacy controls
  • A disciplined approach to making decisions and setting expectations
  • Experience working with large datasets (greater than 1 million records) and applying techniques to efficiently manage big data
  • Experience working with technical collaboration tools such as Git and Jira (preferred)
  • Experience working with financial or demographic datasets (preferred)

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