Assistant Vice President, Data Science & Analysis

Morgan-Stanley; Jersey City (NJ); Híbrido; USD 135 000 - 165 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical benefits

Dental & Vision

401(k)

Paid Time Off

Parental Leave

Resumo da oferta

Morgan Stanley is seeking an Assistant Vice President, Data Science & Analysis in Jersey City, NJ. Lead development of data science solutions and scalable ML models for client acquisition, marketing, and strategy. Collaborate with Legal, Compliance, Risk, Technology, and Business Partners.

Telecommuting permitted up to 1 day per week. The role requires a Masters in a relevant field and 2 years of experience in data science, with strong Python, SQL, and analytics skills.

Qualificações

• Master’s in Data Science, Quantitative Economics, Mathematics, or related field.
• Two years of experience in Data Science & Analysis or related roles.
• End-to-end ML development including data sourcing, feature engineering, evaluation, deployment, monitoring.
• Proficiency in Python for predictive modeling and data processing.
• Experience with statistical analysis, hypothesis testing, and A/B testing.

Responsabilidades

• Develop data science solutions and production-grade ML models.
• Collaborate with cross-functional teams to translate business needs into analytics.
• Validate models with a dedicated validation team to ensure accuracy.
• Set up large-scale experiments to test hypotheses and drive growth.
• Communicate results and governance considerations to stakeholders.

Conhecimentos

Machine Learning

Python

SQL

Experimentation

Data Visualization

Formação académica

Master’s in Data Science or related

Ferramentas

SQL Databases

Cloud Platforms

Descrição da oferta de emprego

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; andPartnering with stakeholders to gather requirements, communicate analytical findings and model limitations, document decisions, and support governance processes for production analytics and machine learning solutions; andValidating the machine learning models in collaboration with the validation team to ensure accuracy and reliability of Machine Learning (ML) models.WHAT YOU CAN EXPECT FROM MORGAN STANLEY:At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.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.Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .