Data Science Analyst

4 weeks ago

New York, United States Perennial Resources International Full time
Data Science Analyst
Permanent role - No 3rd party please, No sponsorship
Location: NYC - Must be local (3 days a week onsite)

We are seeking an Analyst who will be responsible for analyzing data and assist with the development of models for business-driven use cases across our Firm. The successful candidate will bring an innovative, analytical perspective to the team and be able to apply machine learning to data assets to enhance business decision-making. They will be able to recognize which statistical methods are suitable for the business problem at hand and be comfortable explaining their findings in simple terms.
  • Work with stakeholders as an internal consultant, identifying opportunities for leveraging data to solve for business challenges and opportunities. Partner with business and technology teams across the organization to evolve data science and machine learning capabilities.
  • Develop thoughtful analyses and predictive models responsive to project requirements.
  • Engage in end-to-end data science projects from data curation to fitting models to productionizing at scale.
  • pply technical knowledge of corporate finance, statistics, and programing to real world business problems. Define strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability.
  • Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning models to solve business use cases.
  • Research and implement custom statistical models and machine learning algorithms. Develop models using cutting-edge tools and machine learning techniques.
  • Identify valuable data sources / datasets that can be leveraged to improve results.
Required Skills and Experience
  • 1+ year of work-experience, preferably in Banking, Consulting, or similar environments
  • Undergraduate or Master's degree in data science, math, statistics, quantitative / computational finance, engineering, computer science or other quantitative / computing field.
  • Expertise using programming languages such as Python to run analyses and SQL for querying relational databases.
  • Excellent analytical, quantitative and critical problem-solving skills and demonstrated research ability.
  • Demonstrated ability to adapt quickly and deliver high-quality results under tight timelines despite competing demands.
  • strong interest or previous experience in corporate finance or investment banking
  • Knowledge of machine learning / data science theory, techniques and tools; experience with Natural Language Processing (NLP) is a plus.
  • Understanding of Large Language Model capabilities and underlying structures.
  • Interest in application of emerging technologies such as AI.
  • Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
  • dditional preferred skills (though not required):
  • Experience with data visualizations (e.g. Python-Dash, R-Shiny, Tableau, etc.).

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