Data Scientist Assistant Vice President at Citi

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Sep, 26

Salary

145440.0

Posted On

14 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Statistical Analysis, SQL, Deep Learning, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, XGBoost, Data Wrangling, Feature Engineering, Model Deployment, Natural Language Processing, Exploratory Data Analysis

Industry

Financial Services

Description

Role Summary We are seeking a highly skilled and motivated Data Scientist at the Assistant Vice President level to join our dynamic team. This role is pivotal in driving data-driven decision-making and innovation within Citi. The ideal candidate will leverage advanced machine learning (ML) techniques and robust data science capabilities to solve complex business problems, uncover insights, and build scalable solutions that create significant value for the firm and its clients. You will be responsible for the end-to-end lifecycle of data science projects, from conceptualization and data exploration to model development, deployment, and performance monitoring. This position requires a deep technical expertise in Python, machine learning, and statistical analysis, combined with strong business acumen and the ability to communicate complex findings to both technical and non-technical stakeholders. Key Responsibilities Model Development & Implementation: Design, develop, and implement sophisticated machine learning models (e.g., for forecasting, classification, clustering, anomaly detection, and natural language processing) using Python and its core data science libraries (scikit-learn, TensorFlow, PyTorch, Keras). End-to-End Project Ownership: Lead all phases of the data science project lifecycle, including requirements gathering, data sourcing and wrangling, feature engineering, model training and validation, and deployment into production environments. Data Analysis & Insights: Perform exploratory data analysis on large, complex datasets to identify trends, patterns, and actionable insights that address key business questions. Technical Leadership & Mentoring: Provide technical guidance to junior data scientists and analysts. Champion best practices in coding, data science methodologies, and model validation. Stakeholder Collaboration: Partner with business leaders, product managers, and technology teams to understand challenges, define project objectives, and translate business needs into quantitative analyses and predictive models. Communication: Clearly and effectively present complex analytical concepts, methodologies, and results to diverse audiences, including senior management. Innovation & Strategy: Stay current with the latest advancements in the fields of machine learning and artificial intelligence. Proactively identify opportunities to apply novel techniques to drive competitive advantage and operational efficiency. Governance & Compliance: Ensure all models and data processes adhere to internal risk management policies, regulatory requirements, and model governance standards. Qualifications & Skills Essential: Experience: 5-7+ years of hands-on experience in a data science or quantitative role, with a proven track record of developing and deploying machine learning models in a corporate environment. Programming Proficiency: Expert-level programming skills in Python, including extensive experience with data manipulation (pandas, NumPy), machine learning (scikit-learn, XGBoost), and deep learning (TensorFlow, PyTorch) libraries. Database Skills: Strong proficiency in SQL for querying and extracting data from relational databases (e.g., Oracle, PostgreSQL). Machine Learning Expertise: Deep understanding of both classical machine learning algorithms (e.g., Linear/Logistic Regression, Random Forests, Gradient Boosting) and modern deep learning architectures (e.g., CNNs, RNNs, Transformers). Statistical Knowledge: Solid foundation in statistics, probability, and experimental design. Problem-Solving: Exceptional analytical and problem-solving skills with the ability to break down complex problems into manageable components. Communication: Excellent verbal and written communication skills, with the ability to articulate technical topics to non-technical audiences. Educational Background: A Bachelor's degree in a similar field with significant, equivalent professional experience will also be considered. Preferred: Financial Services Experience: Prior experience working in the financial industry (e.g., banking, risk management, algorithmic trading, fraud detection) is highly desirable. Full-Stack Capability: Experience or familiarity with full-stack development, including backend technologies like Java and frontend frameworks like Angular, is a plus. Big Data Technologies: Experience with distributed computing frameworks like Apache Spark (PySpark) and the Hadoop ecosystem. Cloud Platforms: Hands-on experience with data science and ML services on cloud platforms such as AWS (Sagemaker), Google Cloud (AI Platform), or Azure (Machine Learning). MLOps: Familiarity with MLOps principles and tools for model versioning (Git), containerization (Docker, Kubernetes), and CI/CD pipelines. Data Visualization: Proficiency with data visualization tools and libraries. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Tampa Florida United States ------------------------------------------------------ Primary Location Full Time Salary Range: $96,960.00 - $145,440.00 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 20, 2026 ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Responsibilities

Lead the end-to-end lifecycle of data science projects to drive data-driven decision-making and innovation. Design and implement sophisticated machine learning models while collaborating with stakeholders to translate business needs into quantitative solutions.