Job description


The Senior Data Scientist will focus on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. This role will provide you with the opportunity to innovate, explore and build solutions using emerging technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention.

  • Efficiently construct, develop, and implement the models in a variety of modeling tools, achieving highly accurate models.
  • Consulting with key internal and external stakeholders to understand and frame business requests, then determine how best to leverage machine learning and advanced analytic methods (machine learning methods such as ensemble models, decision trees and neural networks; operations research; statistical modeling such as multivariate techniques) to support business objectives.
  • Developing sound analytic plans based on available data sources, business partner needs, and required timelines.
  • Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures.
  • Managing deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs.
  • Presenting analytical findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results


Required Experience

  • 7 years of work experience in data modelling, statistical analysis, and relevant computing requirements
  • Experience in machine learning, data mining, deep learning and statistical methodology; demonstrated experience using these techniques to solve business problems
  • Experience in computer science or related discipline, coding in Python,
  • Strong experience building predictive models, preferably for financial application
  • Strong experience working with large quantities of data, excellent SQL skills.
  • Excellent written and verbal communication skills, ability to convey actionable and understandable business intelligence

Preferred Experience:

  • Passion for collaboration and working with and inspiring cross-functional teams
  • Experience with distributed data/computing tools: Hadoop, Hive, Spark, MySQL, etc


  • Required: Master degree. in Statistics, Computer Science, Mathematics, Economics, Biophysics or directly related field.

Hours and Work Schedule: 1-2 days in the office

Hours per Week: 40

Work Schedule: Monday-Friday

Why Work for Us

At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability or perceived disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.

Equal Employment and Opportunity Employer/Disabled/Veteran

Citizens is a brand name of Citizens Bank, N.A. and each of its respective affiliates.

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