Data Scientist Assistant Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Tampa, Florida
Salary
$96,960–$145,440 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $162k
This role $121k
$83k most similar roles pay here $229k

This role pays less than 96% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $121k versus about $162k 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.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Data Scientist Assistant Vice President

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The Assistant Vice President Data Scientist role at Citi involves leading the end-to-end lifecycle of data science projects, from conceptualization to deployment. This includes developing sophisticated machine learning models using Python and libraries like scikit-learn, TensorFlow, and PyTorch for various applications such as forecasting and anomaly detection. The candidate will also perform exploratory data analysis on large datasets, collaborate with business leaders to define project objectives, and ensure compliance with regulatory standards. Essential skills include expert-level programming in Python, proficiency in SQL, and a deep understanding of both classical machine learning algorithms and modern deep learning architectures. Experience in the financial services industry is highly desirable, as well as familiarity with cloud platforms like AWS Sagemaker and MLOps principles for model deployment and monitoring.

Skills

Python scikit-learn TensorFlow PyTorch pandas NumPy SQL Oracle PostgreSQL XGBoost CNNs RNNs Transformers MLOps Git Docker Kubernetes AWS Sagemaker Apache Spark Hadoop

What you'll do

  • Design and develop sophisticated machine learning models using Python libraries.
  • Lead all phases of data science projects from conceptualization to deployment.
  • Perform exploratory data analysis to identify trends and actionable insights.
  • Provide technical guidance and mentor junior team members in best practices.
  • Communicate complex analytical concepts and results to diverse stakeholders effectively.
  • Stay current with advancements in machine learning and AI, identifying new opportunities.

What we're looking for

  • 5+ years of experience in data science or quantitative roles with model deployment.
  • Expert Python skills including pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.
  • Proficiency in SQL for database querying and extraction from relational databases.
  • Deep expertise in classical machine learning algorithms and modern deep learning architectures.
  • Strong statistical knowledge and problem-solving abilities.
  • Excellent communication skills to articulate technical concepts to non-technical audiences.

Related searches

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