Principal Data Scientist- Fraud AI/ML

Key Skills

Aartificial intelligence, Algorithms, Apache Hadoop, Big Data Technology, Computer Vision (CV), Data science techniques, Deep Learning, IT, Machine learning techniques, Natural Language Processing (NLP), Optimization, Planning and organization, PyTorch, SPARK Programming, Teamwork, TensorFlow

Job Description

• Strategic Leadership: Lead and architect the development of advanced AI/ML models aimed at detecting fraudulent accounts and transactions, ensuring alignment with business objectives.
• Fraud Detection Development: Develop, train, and test machine learning models for fraud detection using cutting-edge algorithms
• Data Analysis and Management: Perform complex data analysis, identify key trends, and utilize big data technologies to deliver insight
• Collaboration and Cross-Functional Teamwork: Collaborate with various business units, including Risk Management, IT, and Compliance, to deploy models in a real-time environment.
• Model Optimization and Innovation: Continuously refine and optimize models to adapt to new fraud patterns and regulatory requirements
• Technical Mentorship: Provide mentorship and technical guidance to junior data scientists, fostering a culture of innovation and continuous learning
• Compliance and Governance: Ensure that all modeling complies with regulatory requirements and adheres to best practices in data governance and model risk management
• Research and Stay Current: Keep abreast of the latest advancements in AI/ML and financial fraud detection to maintain a competitive edge

Qualifications:

• Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 7+ years of experience in data science
• Experience with traditional ML (XGB, RF, etc.), deep learning applications to time series modeling, natural language processing, computer vision, and anomaly detection techniques
• Strong proficiency in deep learning tools and frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
• Full-stack development experience on cloud ecosystems 
• Extensive experience with big data technologies like Dask, Hadoop, Spark, and related ecosystems
• Demonstrable experience in leading complex projects and managing cross-functional teams.
• Strong understanding of regulatory requirements in the banking industry, especially related to fraud detection.
• Excellent communication and collaboration skills, with the ability to translate complex technical insights into actionable business strategies.

The salary range for this position is $130,000 - 170,000$, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.