Sr. Data Scientist - Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $160k
This role $178k
$104k most similar roles pay here $225k

This role pays more than 68% of similar roles. Most pay $126,800–$193,125 — the shaded band above. At the midpoint, this role pays about $178k versus about $160k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 380 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 354 roles with salary data.

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View all roles at Citi

At a glance

TL;DR · Sr. Data Scientist - Vice President

The Sr. Data Scientist role within the Technology team at Citigroup involves leading data science initiatives by developing and deploying advanced machine learning models using Python’s AI/ML stack including Scikit-learn, Pandas, NumPy, TensorFlow, and PyTorch. Day-to-day responsibilities include partnering with management teams to integrate data science functions, resolving high-impact problems through statistical analysis and ML modeling, and ensuring the deployment of scalable, production-grade models. Key areas of focus are anomaly detection, NER, rule-based compliance policies, and Agentic AI solutions using LLMs. The ideal candidate has 6-10 years of experience in data science or machine learning roles, with expertise in statistical analysis, model development, and project management. They should also possess strong leadership skills and the ability to communicate complex technical concepts effectively across diverse audiences.

What you'll do

  • Develop and implement complex machine learning models using Python AI/ML stack.
  • Design anomaly detection and noun entity recognition solutions for data products.
  • Build Agentic AI systems with Large Language Models (LLMs) for compliance policies.
  • Manage the lifecycle of machine learning models from coding to production deployment.
  • Mentor mid-level data scientists and analysts, fostering technical excellence in team.

What we're looking for

  • 6-10 years of experience in Data Science or Machine Learning roles with a focus on quantitative analysis.
  • Extensive expertise in statistical analysis and machine learning model development using Python AI/ML stack (Scikit-learn, Pandas, NumPy).
  • Proven track record in managing and implementing data science projects from conception to production.
  • Subject matter expertise in anomaly detection, NLP (NER), Agentic AI with LLMs, and rule-based compliance systems.
  • Demonstrated leadership skills in technical project management and mentorship of junior team members.
  • Strong communication abilities to convey complex technical concepts clearly to diverse audiences.

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