Moody’s Investors Service | Machine Learning Scientist – (Open from Asst to Director-Level) – (100% Remote Throughout US) | Remote | United States | | 11/12/2022

Before u proceed below to check the jobs/CVs, please select your favorite job categories, whose top job alerts you want in your email & Subscribe to our Email Job Alert Service For FREE


Job Location: Remote

Imagine what we can INSPIRE with you

Moody’s empowers people to make better decisions and achieve brighter futures. This is what motivates us to bring out the best in our products and our people. Join us. Forward Together.

Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at Jyotish Jyotish - Career & Life Prediction


Predictive Analytics – AI/ML Group

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning systems. Our engineers and researchers are responsible for architecting and developing these ML services end-to-end overcoming unique challenges that involve building systems that have high throughput availability, consistency, and low latency. The Predictive Analytics AI Group is the central group in Moody’s Analytics comprising of researchers and engineers working together to build data-driven customer-facing products, as well as the necessary infrastructure to support the ML services following the industry leading practices. The group has worked on and built some award-winning AI products like Compliance Catalyst, Adverse Media Monitoring, Coronapulse, Quiqspread, News Edge 2.0, ESG and has participated in various internal automation initiatives.


Broadly, we are looking for colleagues who are passionate about:

  • Natural language processing

  • Information retrieval

  • Information extraction

  • Graph Neural Networks

  • Recommender systems

  • Knowledge graphs

  • Explainable AI

We’ll trust you to:

  • Research, Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace

  • Work on POCs and research prototypes

  • Provide thought leadership in machine learning

  • Represent Moody’s Analytics at scientific and industry conferences

  • Lead collaboration with colleagues and academia to publish research findings in leading academic venues such as ACL, EMNLP, NAACL-HLT, AAAI, KDD, CIKM, SIGIR, ECIR

  • Collaborate with colleagues on production systems and applications


You’ll need to have:

  • Ph.D. in CS, ML, Math, Statistics, Engineering, Quant, or relevant industry experience.

  • Publication record in top-tier academic conferences and journals

  • Proficiency in modern programming languages such as Python

  • Proficiency in leading research projects

Nice to have:

  • Experience with MLOPs technologies and workflows

  • Experience in working with engineering teams on taking research prototypes to production

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [email protected]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

For US-based roles only: the anticipated hiring base salary range for this position is $ [131,500] to $ [218,600], depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Apply Here

Submit CV To All Data Science Job Consultants Across United States For Free


Please enter your comment!
Please enter your name here