Citigroup, Inc

Sr. Data Scientist - Vice President

Citigroup, Inc • $142K — $213K *
Tampa, FL 33647In-Person
Information Technology
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 6-10 years in Data Science, Machine Learning, or Applications Development with a quantitative focus.
  • Extensive experience in machine learning model development and statistical analysis with Python.
  • Proven track record in managing end-to-end data science projects.
  • Recognized Subject Matter Expert in applied machine learning (anomaly detection, NLP, Agentic AI).
  • Preferred familiarity with SAS programming or Java microservices architecture.
  • Strong leadership and project management skills.
  • Excellent written and verbal communication for diverse audiences.

Responsibilities

  • Partner with management to integrate data science functions effectively.
  • Resolve complex high-impact business problems using advanced statistical and machine learning techniques.
  • Lead application design adhering to architectural standards and create advanced machine learning models.
  • Manage the ML lifecycle, enforcing coding standards and implementation of production-grade models.
  • Understand business areas for effective data science deployment.
  • Analyze and develop innovative, data-driven solutions and machine learning models.
  • Mentor and coach mid-level data scientists and analysts for technical excellence.
  • Assess risks in business decisions while ensuring compliance with laws and policies.

Benefits

  • Medical, dental & vision coverage.
  • 401(k) retirement plan.
  • Life, accident, and disability insurance.
  • Wellness programs.
  • Paid time off including vacation and sick leave, along with paid holidays.
Full Job Description
Job Summary

The Sr. Data Scientist is responsible for establishing and implementing new or revised data science and machine learning application systems in coordination with the Technology team. The overall objective of this role is to lead the applications systems analysis, advanced model development, and programming activities for our data science initiatives.

Responsibilities
  • Strategic Partnership: Partner with multiple management teams to ensure appropriate integration of data science functions to meet goals. Identify and define necessary system enhancements to deploy new data products and process improvements, with a focus on leveraging machine learning.
  • Problem Resolution: Resolve a variety of high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying advanced statistical analysis and machine learning modeling techniques.
  • Technical Leadership & Expertise: Provide subject matter expertise in data science and advanced knowledge of AI/ML applications. Ensure application design adheres to the overall architecture blueprint. Key areas of focus include:
    • Developing complex machine learning models using the Python AI/ML stack.
    • Designing and implementing solutions for anomaly detection, noun entity recognition (NER), and rule-based compliance policies.
    • Building and deploying Agentic AI solutions using Large Language Models (LLMs).
  • ML Lifecycle Management: Utilize advanced knowledge of the machine learning model lifecycle to develop and enforce standards for coding, testing, debugging, and implementation of scalable, production-grade models.
  • Business Integration: Develop a comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.
  • Innovation & Solutioning: Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.
  • Mentorship: Serve as an advisor or coach to mid-level data scientists and analysts, allocating work as necessary and fostering a culture of technical excellence.
  • Risk Management: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations related to data and AI, adhering to Policy, applying sound ethical judgment, and escalating, managing, and reporting control issues with transparency.

Recommended Qualifications
  • Experience: 6-10 years of relevant experience in a Data Science, Machine Learning, or a related Applications Development role with a strong focus on quantitative analysis.
  • Technical Proficiency: Extensive experience in statistical analysis, machine learning model development, and programming of software applications, specifically with the Python AI/ML stack (e.g., Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch).
  • Project Implementation: Proven experience in managing and implementing successful data science projects from conception to production.
  • Subject Matter Expertise: Recognized Subject Matter Expert (SME) in applied machine learning, with deep knowledge in one or more of the following:
    • Anomaly Detection
    • Natural Language Processing (NLP), particularly Noun Entity Recognition (NER)
    • Agentic AI using Large Language Models (LLMs)
    • Rule-based systems for compliance and policy implementation
  • Preferred Skills: Familiarity with the SAS programming language and/or Java-based microservices architecture is a plus.
  • Adaptability: Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment.
  • Leadership: Demonstrated leadership and project management skills.
  • Communication: Consistently demonstrates clear and concise written and verbal communication, with the ability to convey complex technical concepts to diverse audiences.

Education
  • Required: Bachelor's degree/University degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering, or equivalent experience.
  • Preferred: Master's degree or Ph.D. in a relevant quantitative discipline is highly preferred.


Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary Location:
Jersey City New Jersey United States

Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00

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.

Most Relevant Skills
Please see the requirements listed above.

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

Anticipated Posting Close Date:
Jun 17, 2026

About Citigroup, Inc

Citigroup is a financial services holding company that provides financial products and services. The company operates through two segments, Global Consumer Banking (GCB) and Institutional Clients Group (ICG). The GCB segment offers traditional banking services to retail customers through retail banking, commercial banking, Citi-branded cards, and Citi retail services. The ICG segment offers various banking, and financial products and services to corporate, institutional, public sector, and high-net-worth clients. This segment provides wholesale banking products and services, including fixed-income and equity sales and trading, foreign exchange, prime brokerage, derivative services, equity and fixed-income research, corporate lending, investment banking, and advisory services, private banking, cash management, trade finance, and securities services. Citi is committed to sustainability and social responsibility, and the company invests in initiatives that promote economic progress.

Citigroup, Inc Careers

Join the vibrant team at Citigroup, Inc, a leading global bank, and propel your career into the future. Citigroup offers a plethora of job opportunities that span across various fields and expertise, making it an ideal place for ambitious professionals to thrive.

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Learn more about Citigroup, Inc
Market Cap
$1.3 billion
Industry
Finance & Insurance
Net Income
$89.6 million
Founded
1812
5 Year Trend
+4.6%
NASDAQ
C
* Ladders Estimates

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