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Data Science Senior Analyst

https://www.citi.com/ Logo

Citi

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

169541.00 USD / Year
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Job Description:

Discover your future at Citi. Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview: Citibank, N.A. seeks a Data Science Senior Analyst for its New York, New York location.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
March 20, 2026

Expiration:
April 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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