Description

Citizens Bank is currently recruiting for a 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: 

• Development, maintenance, and implementation of Artificial Intelligence (AI) and Machine Learning (ML) models in the domains of Optical Character Recognition (OCR) and Natural Language Processing (NLP)_
• Building scalable, end to end model production pipelines within the cloud and on-prem
• 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:

• Two to five years of experience in an analytical, data science role or data engineering (ETL) capacity
• 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 and their applications
• Proven ability to program and build predictive models using Python or R; including packages such as TensorFlow, PyTorch, Keras, Pandas, NumPy
• Ability to use SQL for data analysis and to generate stored procedures
• Understanding of Computer Vision fundamentals, including applications in (OCR)
• Understanding of Natural Language Processing (NLP) and Natural Language Understanding (NLU) processes, as well as Natural Language Generation (NLG) algorithms
• Demonstrated quick learner, highly analytical with excellent problem-solving skills and attention to detail
• Strong communication and storytelling skills
• Experience or familiarity with contract analytics and related legal or regulatory requirements is a plus

Education  

• Bachelor’s Degree required
• Masters 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; 8:30AM – 5:00PM

This position is not available in Colorado