Principal Machine Learning Engineer, YM2026PMLE

10000 FactSet Research Systems Inc.; Connecticut; Hybrid; USD 177,000 - 217,000; Full time

Job summary

FactSet Research Systems Inc. in Norwalk, CT seeks a Principal Machine Learning Engineer to lead AI initiatives, develop advanced NLP and text analytics, and guide model deployment across product teams.

The role emphasizes collaboration with data science, engineering, and product to translate AI capabilities into scalable solutions. Remote work is allowed for US-based applicants, with state restrictions noted.

Qualifications

• Master’s degree in CS/Math/Stats or related field with 6 years of experience.
• 3 years of experience with Node.js, MongoDB, RabbitMQ, Redis or Memcached, Git, RESTful design and time-series data.
• Proficient in Python, Elasticsearch, scikit-learn, NumPy, SpaCy.
• Experience applying ML techniques on text data for domain-specific classifications.
• NLP processing for mining data, cleaning, pre-processing and transformation; combining multiple ML approaches.

Responsibilities

• Spearhead AI-driven projects focused on advanced NLP and ML solutions.
• Develop and implement text data classification and NLP models.
• Collaborate with product teams to align AI capabilities with business goals.
• Provide technical leadership and stay current with emerging AI trends.

Skills

Machine learning

Natural Language Processing (NLP)

Text data classification

Collaborative leadership

Education

Master’s degree in Computer Science, Mathematics, Statistics, or related technical field

Tools

Node.js

MongoDB

RabbitMQ

Redis/Memcached

Git

RESTful Web Design

Python

Elasticsearch

scikit-learn

NumPy

SpaCy

Job description

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Position

Principal Machine Learning Engineer
Employer: FactSet Research Systems Inc.
Location: FactSet Research Systems Inc., 45 Glover Avenue, 7th Floor, Norwalk, CT 06850.

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.

Position 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, promoting 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. Role includes staying 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.

Minimum Requirements

• Master’s degree in Computer Science, Mathematics, Statistics, or related technical field and 6 years of related technical experience.
• Must have 3 years of experience with the following
• Node.js
• MongoDB
• RabbitMQ
• a caching technology such as Redis or Memcached
• Git
• Restful Web Design
• working with times series data
• Python
• Elasticsearch
• libraries scikit-learn
• Numpy
• Spacy
• 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
• NLP processing in mining data, cleaning, pre-processing and transformation
• combining multiple ML approaches like active/supervised/semi-supervised learning to achieve a better result
• and developing tagged data sets.

Salary Offered

$177,000- $217,000/year.

Company Overview

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 and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective.

EEO Statement

Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law.

E-Verify Statement

FactSet participates in E-Verify.

Company Intro Continuation

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions.

Team Invitation

Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology. Spread the news! We understand the importance of connections, which is why we have launched an external referral pilot program in the United States. If you are a partner, customer, or vendor; you are now able to refer top talent for a monetary reward. Please note some exclusions may apply*.