Data Science Senior Analyst

Citibank, N.A. seeks a Data Science Senior Analyst for its New York, New York location.

Duties: Perform Exploratory Data Analysis to understand the patterns and anomalies in the data. Build dashboards with customized visualizations for presenting Key Performance Indicator metrics such as business opportunities and efficiency gains. Build machine learning models such as linear models with regularization, classification models, ensemble models including gradient boosting and random forest on structured data. Build customized AI predictive models for mortgages, syndicated loans and application usage by training them on the domain specific data. Build AI models using Natural Language Processing and Natural Language Understanding techniques of neural network and deep learning methods. Build custom entity extraction of critical data elements from unstructured documents such as credit loan agreements, contracts and invoices. Build API services for the developed AI models and validate them. Identify the process gaps and the quality issues of the data and communicate to data owners. Analyze the product usage data and recommend enhancements to the product. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Requires a Master’s degree, or foreign equivalent, in Computer Science, Machine Learning, or related field and 2 years of experience as a Data Analyst, Data Scientist, Project and Operations Manager or related position involving data analysis and visualization. Alternatively, employer will accept a Bachelor’s degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience. Full span of experience must include: Exploratory Data Analysis using Pandas, NumPy, JSON, and Matplotlib; Data extraction from databases using SQL queries; Data sources identification, data quality, consistency, timeliness and completeness assessment, data cleaning, and data conversion into suitable format; Data visualization using Tableau, building custom visualizations such as spider charts, funnel charts, Tornado charts and circle packing charts, and documentation of the visualization process; Creation of interactive dashboards including design layout and functionality and user-friendliness testing; Predictive and prescriptive models building using Python; Model feature engineering and impact analysis; Model feature importance evaluation using permutation and tree-based methods, scoring systems, and impact analysis of feature changes; Data training, validation and testing using machine learning algorithms for model evaluation and hyperparameter tuning; and Machine learning models development, including decision trees, random forests, linear regression, classification and logistic regression. Applicants submit resumes at Please reference Job ID #26937885. EO Employer.

Wage Range: $169,541 to $169,541

Job Family Group: Technology

Job Family: Data Science

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Time Type:

Full time

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Primary Location:

New York New York United States

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Primary Location Full Time Salary Range:

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Apr 13, 2026

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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