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Senior Associate, Data Scientist
Company | BNY Mellon |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-08-19 |
Posted at | 9 months ago |
- We are looking for a Data Scientist to analyze the information. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.
- Willing to research and develop with minimum guidance.
- Extensive experience in Python, pandas, numpy is required.
- Knowledge & experience with web-scraping
- Good understanding of linear algebra, calculus and statistics
- Knowledge & experience using LLMs, Vector databases & Langchain is a plus
- Knowledge and experience with fundamental machine learning algorithms is required.
- Relational as well as NoSQL databases (e.g. Oracle, MongoDB) is preferred
- Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team has committed to.
- Collaborate cross-functionally with data engineers, business users, project managers and other engineers to achieve elegant solutions.
- Experience in developing Data Pipelines to support near-realtime and event-driven messaging and data processing
- Work alongside other engineers on the team to elevate technology and consistently apply best practices.
- Demonstrate team work. Leverage existing products/functionality and promote reuse.
- Experience and understanding of data design patterns culminating into microservices development.
- Utilize local meetups to gain and share knowledge.
- Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required
- 2 to 5 years of experience in data science required; experience in the securities or financial services industry is a plus; should have thorough knowledge of the software development cycle
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