Morgan Stanley

Vice President - Data Scientist

Morgan Stanley

San Francisco, CA, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

Morgan Stanley is looking for an experienced and enthusiastic Vice President - Data Scientist who is passionate about using data to drive business decisions. This individual will be responsible for leading the data science team in developing and deploying machine learning models, predictive models, and other data-driven initiatives. We are seeking a creative problem-solver who is highly organized and motivated.The ideal candidate will have a minimum of seven years of data science experience, including developing models, predictive analytics, and leading a team. They must have a strong technical background and be proficient in Python, R, and/or SQL. Additionally, the ideal candidate should have a deep understanding of machine learning and a proven track record of success in developing data-driven solutions. The successful candidate will have excellent communication and interpersonal skills and be able to effectively collaborate with both technical and non-technical colleagues. Ultimately, the Vice President - Data Scientist will be a key leader in driving the data science strategies and initiatives at Morgan Stanley. We are looking for a data-driven leader who is passionate about using data science to drive business decisions and improve our products and services.

Responsibilities:

  1. Lead the data science team in developing and deploying machine learning models, predictive models, and other data-driven initiatives.
  2. Develop models, predictive analytics, and data-driven solutions.
  3. Have a strong technical background and be proficient in Python, R, and/or SQL.
  4. Have a deep understanding of machine learning.
  5. Have excellent communication and interpersonal skills and be able to effectively collaborate with both technical and non-technical colleagues.
  6. Drive the data science strategies and initiatives at Morgan Stanley.
  7. Use data science to drive business decisions and improve products and services.
Where is this job?
This job is located at San Francisco, CA, USA
Job Qualifications
  • Statistics

  • Computer Science)

  • Phd In A Quantitative Field (E.g. Mathematics

  • Extensive Experience With Data Science Tools And Techniques (E.g. Machine Learning

  • Ai

  • Natural Language Processing)

  • Demonstrated Ability To Lead And Mentor A Team Of Data Scientists

  • Proven Track Record Of Delivering Data-Driven Insights And Business Value

  • Comprehensive Knowledge Of The Financial Services Industry

  • Proven Ability To Communicate Complex Data And Analytics Insights

Required Skills
  • Risk Management

  • Sql

  • Project Management

  • Python

  • Business Intelligence

  • Big Data

  • Machine Learning

  • Financial Modeling

  • Data Visualization

  • Cloud Computing

  • Data Mining

  • Statistical modeling

  • Data Analytics

  • Business Strategy

  • AI

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Time management

  • Interpersonal Skills

  • creativity

  • Organization

  • Critical thinking

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Vice President - Data Scientist in San Francisco, CA, USA is $155,000 to $220,000 per year. This range is based on salaries reported by current and former employees.

Additional Information
Morgan Stanley is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedNovember 17th, 2023
Apply BeforeJuly 20th, 2025
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About Morgan Stanley

Morgan Stanley provides investment banking products and services to its clients and customers including corporations, governments, financial institutions, and individuals. It operates through the following business segments: Institutional Securities, Wealth Management, and Investment Management. The Institutional Services segment provides financial advisory, capital-raising services, and related financing services on behalf of institutional investors.

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