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Principal Machine Learning Engineer

$177k - $217k
Full-time

FactSet Research Systems Inc

Role Description

Principal Machine Learning Engineer, FactSet Research Systems Inc., Norwalk, CT: Spearhead innovative projects focused on developing and implementing advanced AI-driven solutions. Work on diverse machine learning models with an emphasis on optimizing techniques for text data classification and natural language processing.

  • Collaborate on projects that leverage AI to transform data insights and enhance domain-specific applications.
  • Promote the integration of various machine learning approaches to achieve superior results.
  • Serve as key technical leader and provide thought leadership on best practices in the field.
  • Engage in cross-functional collaboration with product teams to align AI capabilities with strategic business goals.
  • Stay current with emerging technologies and trends to ensure the continuous improvement and effectiveness of AI solutions.

Remote Position: This position may be performed remotely in the United States. However, remote work is not permitted in the following states: Alaska, Arkansas, Delaware, Hawaii, Louisiana, Montana, New Mexico, North Dakota, South Dakota, and West Virginia.

Qualifications

  • Master’s degree in Computer Science, Mathematics, Statistics, or related technical field.
  • 6 years of related technical experience.
  • 3 years of experience with the following technologies:
    • Node.js
    • MongoDB
    • RabbitMQ
    • A caching technology such as Redis or Memcached
    • Git
    • Restful Web Design
    • Working with time series data
    • Python
    • Elasticsearch
    • Libraries: scikit-learn, Numpy, Spacy
  • Experience in applying ML techniques (SVM, logistic regression, Decision Trees, Random Forest, XGBoost, deep learning such as RNN/LSTM) on text data for domain-specific text classifications.
  • Experience in NLP processing in mining data, cleaning, pre-processing, and transformation.
  • Combining multiple ML approaches like active/supervised/semi-supervised learning to achieve better results.
  • Developing tagged data sets.

Requirements

  • Master’s degree in Computer Science, Mathematics, Statistics, or related technical field.
  • 6 years of related technical experience.
  • 3 years of experience with specific technologies and methodologies as listed in the qualifications.

Benefits

  • Salary Offered: $177,000 - $217,000/year.
  • This position qualifies for the internal FactSet employee referral program.

Company Description

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users.

  • Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content.
  • Flexible next-generation workflow solutions and client-centric specialized support.
  • As a member of the S&P 500, we are committed to sustainable growth.
  • Recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner.

At FactSet, we celebrate difference of thought, experience, and perspective.

Vacancy posted 1 day ago
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