Role overview
Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Senior Data Scientist to help drive and lead the building, maintaining, and refining of machine-learning capabilities that will unlock sustainable value creation through intelligent product and relationship pricing.
What you'll work on
- Serve as the lead modeler for deposits & relationship pricing, building critical relationships with partners in product, pricing & profitability, finance, data, and technology to collaboratively bring transformational ML capabilities to market
- Provide thought leadership for pricing modeling and experimentation
- Design, develop, deploy, and integrate models into pricing and relationship decision engines
- Synthesize analytic findings into recommended actions to improve business outcomes
- 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 ML models as a product
- Master’s or PhD degree in statistics, economics, analytics, data science, or related field
- 5-8 years of experience in preparing raw data for analysis and extracting useful information by applying advanced technical and statistical programming techniques
- Solid command of the theory and application of statistical methods and machine learning algorithms, including causal inference techniques
- Proficient in Python and SQL
- Applied experience with the full model development lifecycle, from design and development to deployment, monitoring, and governance
- Familiarity with designing experiments, including randomized controlled trials
- Familiarity with reinforcement learning techniques and sequential decision making
- A strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environment
- 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 and project management tools such as Git and Jira (preferred)
- Experience working with cloud platforms (AWS preferred)
- Experience working with financial datasets (preferred)
A successful incumbent will have:
Tags & focus areas
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