Jobs in the United States

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Morgan Stanley Smith Barney LLC

Assistant Vice President, Data Science & Analysis

Jersey City, NJ, United States

$150,000 USD / year

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Job details

Pay: $150,000 USD / year
Posting language: English
Posted: Nov 9, 2026

Original job description

Experience Required

Requires two (2) years of experience in the position offered or two (2) years as a Data Science & Analysis Associate, Machine Learning Researcher, or a related role.

Minimum Education Required

Requires a Master’s in Data Science, Quantitative Economics, Mathematics, or a related field.

Compensation

$150,000.00 - $150,000.00 / Yearly

Hours Per Week

Number Of Positions

Job Description

Company Profile:

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.

In Wealth Management, we help people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals.

What you’ll do in the role:

Morgan Stanley Smith Barney, LLC is seeking an Assistant Vice President, Data Science & Analysis in Jersey City, New Jersey to develop data science solutions that can be tested and deployed to enable data driven recommendations and outcomes and implement and scale-up high availability models and algorithms for various business and corporate functions. Leverage machine learning modelling and algorithms to deliver on use cases related to client acquisition, including marketing, targeting, digital and products strategy. Build modeling solutions to solve business problems and lead the development of data science and modeling capabilities in the cloud transformation journey. Investigate and create experimental prototypes that work on specific domains and verticals. Analyze large, complex datasets to reveal underlying patterns, correlations, and trends quantitatively. Support and enhance existing models to ensure better performance. Set up and conduct large-scale experiments to test hypotheses and drive business growth. Collaborate with cross-functional stakeholders (Legal, Compliance, Risk, Technology, and Business Partners) to translate business needs into analytics solutions, align on model governance and controls, and ensure timely, compliant delivery. Telecommuting permitted up to 1 day per week.

What you’ll bring to the role:

-Requires a Master’s in Data Science, Quantitative Economics, Mathematics, or a related field.

-Requires two (2) years of experience in the position offered or two (2) years as a Data Science & Analysis Associate, Machine Learning Researcher, or a related role.

-Requires two (2) years of experience with the following skills:

•End-to-end development of machine learning solutions by translating business opportunities into production-grade models and pipelines including data sourcing, feature engineering, evaluation, deployment, and monitoring with success metrics tied to measurable business outcomes;

•Developing and benchmarking algorithms including deep learning approaches for classification and regression, using rigorous experimentation to improve performance and robustness;

•Designing and deploying agentic AI solutions and applying generative AI techniques to enhance machine learning and deep learning model performance, robustness, and development efficiency;

•Python for predictive modeling, data processing, feature engineering, statistical analysis, and workflow automation;

•Writing SQL queries for data extraction, transformation, aggregation, and analysis on enterprise-scale relational databases;

•Applying statistical analysis, hypothesis testing, and A/B testing methodologies to evaluate model and business performance;

•Applying feature engineering, unsupervised learning methods, text processing, and pattern discovery techniques on structured and unstructured datasets;

•Developing reports and visual analytics to communicate model performance, experimental results, and business insights to technical and non-technical stakeholders; and

•Partnering with stakeholders to gather requirements, communicate analytical findings and model limitations, document decisions, and support governance processes for production analytics and machine learning solutions; and

•Validating the machine learning models in collaboration with the validation team to ensure accuracy and reliability of Machine Learning (ML) models.

Salary range for the position: $150,000 - $150,000/Yr. The successful candidate may be eligible for an annual discretionary incentive compensation award. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which also may include a discretionary bonus component. Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees. Please visit mybenefits.morganstanley.com to learn more about our benefit offerings.

Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR042821 in the search field. No calls please. EOE

Place of Work

Hybrid

Requisition ID

JR042821

Job Type

Full Time

Application Instructions

Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR042821 in the search field. No calls please. EOE

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Jobs in the United States