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Tech Stack
Tools & technologiesJavaMicroservicesNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Partner with multiple management teams to ensure appropriate integration of data science functions to meet goals.
- Identify and define necessary system enhancements to deploy new data products and process improvements, with a focus on leveraging machine learning.
- Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying advanced statistical analysis and machine learning modeling techniques.
- Provide subject matter expertise in data science and advanced knowledge of AI/ML applications.
- Ensure application design adheres to the overall architecture blueprint.
- Develop complex machine learning models using the Python AI/ML stack.
- Design and implement solutions for anomaly detection, noun entity recognition (NER), and rule-based compliance policies.
- Build and deploy Agentic AI solutions using Large Language Models (LLMs).
- Utilize advanced knowledge of the machine learning model lifecycle to develop and enforce standards for coding, testing, debugging, and implementation of scalable, production-grade models.
- Develop a comprehensive knowledge of how areas of business integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.
- Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.
- Serve as an advisor or coach to mid-level data scientists and analysts, allocating work as necessary and fostering a culture of technical excellence.
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets.
Requirements
What you’ll need- 6-10 years of relevant experience in a Data Science, Machine Learning, or a related Applications Development role with a strong focus on quantitative analysis.
- Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch).
- Proven experience in managing and implementing successful data science projects from conception to production.
- Recognized Subject Matter Expert (SME) in applied machine learning, with deep knowledge in one or more of the following: Anomaly Detection, Natural Language Processing (NLP), particularly Noun Entity Recognition (NER), Agentic AI using Large Language Models (LLMs), Rule-based systems for compliance and policy implementation.
- Familiarity with the SAS programming language and/or Java-based microservices architecture is a plus.
- Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.
- Demonstrated leadership and project management skills.
- Consistently demonstrates clear and concise written and verbal communication, with the ability to convey complex technical concepts to diverse audiences.
Benefits
Comp & perks- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- planned time off (vacation)
- unplanned time off (sick leave)
- paid holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical analysisPythonanomaly detectionnoun entity recognitionnatural language processinglarge language modelsScikit-learnPandasTensorFlow
Soft Skills
leadershipproject managementcommunicationproblem-solvingadaptabilitycoachinganalytical thinkingcollaborationrisk assessmenttechnical excellence