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Principal Machine Learning Engineer, YM2026PMLE

FactSet

  • United States, Connecticut
  • 3 days ago
  • Remote

    Highlights

    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. 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.

    Numbers & Facts

    LocationUnited States, Connecticut (
    Remote
    )
    IndustryComputer/IT Services
    Company Size5,000 to 9,999 employees
    Year Founded1978
    Websitehttp://www.factset.com/

    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.

    To apply:  Apply online at FactSet Careers Search for Jobs for Req Job Number R32928

    This position qualifies for the internal FactSet employee referral program.

    #LI-DNI and #li-dni

    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 at www.factset.com and follow us on X and LinkedIn

    At FactSet, we celebrate difference of thought, experience, and perspective.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. FactSet participates in E-Verify 

    About Company

    FactSet was founded in 1978 and has been publicly held since 1996. The Company is dual listed on the New York Stock Exchange and the NASDAQ Stock Market under the symbol “FDS.” Fiscal 2016 marked the Company’s 38th year of operation, its 36th consecutive year of revenue growth and its 20th consecutive year of earnings growth as a public company.

    As of August 31, 2016, FactSet has a market capitalization of $7.12 billion, which is up 9.5% over last year. The Company currently has 43 office locations in 21 countries employing 8,093 individuals. In March 2016, FactSet was ranked #89 on Fortune’s “100 Best Companies to Work For”, marking the Company’s eighth appearance on the list in the last nine years. FactSet was also recognized as one of the UK’s “Best Workplaces” by the Great Place to Work® Institute UK for the eighth consecutive year, and included in the “2016 Best Places to Work in France” list for the fifth consecutive year. In addition, the Company was awarded the Best Research and Analytics tool at the 2016 Systems in the City Awards, and the Best Overall Provider, Best Research Provider, and Best Analytics Provider at the 2016 Inside Market Data Awards.

    Since becoming a public company in 1996, FactSet has evolved from a US-centric software firm into a global company generating approximately a third of its revenues from clients outside the US. Through technological proficiency, a dedicated workforce, and an unwavering commitment to client service, the Company has driven revenue and earnings per share to new heights, as well as increased its international presence, and ultimately, its competitive edge.

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