Morgan Stanley

Vice President - Data Scientist

Morgan Stanley

Seattle, WA, USA
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

As Morgan Stanley's Vice President - Data Scientist, you will be responsible for driving the development of an enterprise-wide data science strategy. You will be a key player in setting the data science agenda and leading the data science team to success.We are looking for a candidate with strong technical and leadership skills, with a passion for data science and a deep understanding of the field. The ideal candidate must have a minimum of 8 years of professional experience in data science and a record of success in developing and deploying data-driven initiatives.You must be an innovative problem solver with a strong understanding of business needs and a deep knowledge of data science tools and techniques. You must have excellent communication and interpersonal skills and the ability to work collaboratively with stakeholders. The ideal candidate must also have a track record of developing successful data science strategies and leading a team to success.If you have the required qualifications and are excited to join Morgan Stanley as our next Vice President - Data Scientist, we would love to hear from you.

Responsibilities:

  1. Develop and implement an enterprise-wide data science strategy
  2. Lead the data science team to success
  3. Analyze business needs and develop data-driven initiatives
  4. Utilize data science tools and techniques to solve problems
  5. Maintain excellent communication and interpersonal skills
  6. Collaborate with stakeholders to ensure successful data science strategies
  7. Monitor team performance and adjust strategies as needed
  8. Keep abreast of industry trends and best practices in data science
Where is this job?
This job is located at Seattle, WA, USA
Job Qualifications
  • Computer Science

  • Excellent Written And Verbal Communication Skills

  • Or Related Field

  • Etc)

  • Spark

  • Master's Degree In Data Science

  • + Years Of Experience In A Data Science Role

  • Proven Experience In Developing Data-Driven Solutions

  • Strong Knowledge Of Machine Learning Algorithms

  • Knowledge Of Distributed Computing Frameworks (I.e. Hadoop

  • Ability To Work Collaboratively And Independently

Required Skills
  • Risk Management

  • Project Management

  • Business Intelligence

  • Data Analysis

  • Communication

  • Database Management

  • Leadership

  • Machine Learning

  • Financial Modeling

  • Data Visualization

  • Data Mining

  • Statistical modeling

  • Predictive analytics

  • Collaboration

  • Problem-Solving

Soft Skills
  • Communication

  • Decision Making

  • Leadership

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • Critical thinking

  • Creative Thinking

  • collaboration

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Vice President - Data Scientist in Seattle, WA, USA is between $146,100 and $198,300 per year. The exact salary amount is dependent on factors such as education, experience, and qualifications.

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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