Senior Data Scientist - Executive Director
750 Seventh Ave- NY, United States
Full Time Senior-level / Expert USD 180K - 260K
Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Morgan Stanley Investment Banking & Global Capital Markets Technology is looking for a Senior Data Scientist to help with designing and implementing complex Machine Learning and Generative AI capabilities for our businesses. This role will require the candidate to work with the business on analyzing and defining problems and work closely with development teams on designing and implementing solutions.
The ideal candidate will have strong hands-on experience building software platforms on prem and in cloud, data engineering, and API-based development. This role also requires experience implementing solutions using Generative AI. The candidate should have a passion for using AI to increase productivity and an entrepreneurial mindset to help generate ideas for new tools and products as opportunities are identified.
This role requires a combination of both development and infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions.
Required Skills:
Master’s degree or PhD in Mathematics, Statistics, Data Science, Computer Science, or other related fields
10+ years of experience in software engineering, design and development
Strong hands-on application development background in at least one prominent programming language, preferably Python or Java, one NoSQL database (Elastic/OpenSearch/MongoDB etc.) and SQL
Experience designing and implementing AI/ML models in the following areas: 1) Prompting engineering techniques 2) Manual and LLM-based testing and evaluation 3) Natural Language Processing / RAG – chunking, embedding, and fine-tuning OpenAI models and open source LLMs 4) Supervised & Unsupervised Learning 5) Deep Learning (CNN, RNN, LSTM, Transformers) 6) Entity identification/extraction and knowledge discovery from structured and unstructured content
Strong desire and ability to influence development teams and help them adopt Generative AI
Excellent communication skills and the ability to articulate technical concepts effectively to diverse audiences
Demonstrated ability to work effectively in a global organization and across time zones.
Understanding of coding best practices, development patterns, performance tuning, etc.
Demonstrated experience in DevOps, understanding of CI/ CD
Understanding of Model Ops / ML Ops/ LLM Ops
Knowledge of multi-agent frameworks
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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.
Expected base pay rates for the role will be between $180,000 and $260,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Tags: APIs Banking Computer Science Deep Learning DevOps Engineering Generative AI Java LLMOps LLMs LSTM Machine Learning Mathematics ML models MongoDB NLP NoSQL OpenAI OpenSearch Open Source PhD Prompt engineering Python RAG RNN SQL Statistics Testing Transformers Unsupervised Learning
Perks/benefits: Career development
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