Description
Citizens Bank is currently recruiting for a Principal Data Engineer role. If you are an individual passionate to advance in the field of data science (Core AI) or to make an impact on the organization by applying advanced analytics tools and technology (Applied AI), this is the right opportunity for you to join our growing Advanced Analytics team.
Primary responsibilities include:
- Progress and enhance capabilities in advanced analytics, data science and intelligent automation; provide thought leadership, best practices, and guidance to drive development and implementations
- Working individually or in small groups to drive transformation using machine learning across the bank in marketing, operations, credit, and fraud.
- Rolling up your sleeves and owning a predictive model building process from end-to-end - managing stakeholders, presenting the results and helping the team grow in an agile organization.
Qualifications
Required Skills/Experience:
- Eight years of experience in an analytical, data science role or data engineering (ETL) capacity
- Familiarity with OCR Tools & technologies, techniques for scanning, profiling and enabling extraction of document/digital data
- Understanding of implementing Natural Language Processing (NLP) and Natural Language Understanding (NLU) processes, Natural Language Generation (NLG) algorithms
- Proven ability to program and build predictive models using R or Python; including packages such as TensorFlow, PyTorch, Keras, Pandas, NumPy
- Ability to use SQL for analytical analysis, generate stored procedures
- Experience running statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning
- Solid understanding of machine learning algorithms such as Random Forest, Gradient Boosting and Neural Networks
- Demonstrated quick learner, highly analytical with excellent problem-solving skills and attention to detail
- Strong communication and storytelling skills
Education, Certifications and/or Other Professional Credentials:
- Bachelor’s Degree required, Master’s or PhD in a quantitative field such as statistics, mathematics, econometrics, data science or computer science from a top-tier institution with a strong academic track preferred
Hours & Work Schedule
Hours per Week: 40
Work Schedule: Monday through Friday
This position is not available in Colorado
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