Data Science Senior Analyst

Data Science Senior Analyst at Citi

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.
• Machine learning models development, including decision trees, random forests, linear regression, classification and logistic regression.

Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID #26937885. EO Employer.

Key skills/competency

• Data Science
• Machine Learning
• AI/NLP
• Predictive Modeling
• Data Visualization
• Exploratory Data Analysis
• Python Programming
• SQL Queries
• Tableau Dashboards
• Feature Engineering