- San Francisco, CA, USA
- Permanent, Full time
Location: San Francisco, CA, USAThe Data Intelligence Team has a requirement for a data scientist. We are looking for fearless, resourceful and creative person with strong quantitative experience in the data and analytics space.
The Assistant Director-Data Scientist must be motivated to design, develop state-of-art machine learning solutions to the finance industry.
On any day, the candidate could be doing any or all of the following:
• Research emerging ML, deep learning and NLP solutions applied to natural language (text) and unstructured data and be conversant with latest developments in these fields
• Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc.
• Implement, NLP, text analytics, and document understanding, using latest deep learning tools and framework (such as Tensorflow, PyTorch, etc.,) and develop, demonstrate, and validate NLP solutions in a hands-on role,
• Evaluate custom, scalable deep learning and NLP solutions through prototyping, POCs and quantitative metrics, and handing off solutions to system engineers and stakeholder teams as needed
• Develop new systems for evaluating NLP/NLU accuracy and performance and work with the data engineers in building better-annotated training corpora by assessing data collection and annotation processes
• Explain complex models to non-experts, in layperson terminology to clients, stakeholders and managers, while also being able to discuss intricacies of complex algorithms with experts in the field
• Assess alternative non-traditional data sources for developing ML models that generate sentiment scores, social scores, other and aggregate metrics
Required • Masters degree in a quantitative field such as Financial Engineering, CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Quantitative Finance, Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modeling
• Strong and proven programming skills in Python, R, C/C++ and with machine learning frameworks such as tensorflow, PyTorch etc.,
• Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
• 1+ years of experience with NLP and machine-learning-based algorithms, solutions and frameworks for natural language understanding, document classification, entity recognition, document understanding, parameter extraction, and/or representation learning, as well as with the creation and evaluation of annotated training corpora.
• Familiarity with NLP models and frameworks such as NLTK, Stanford NLP, SpaCy, and others.
• Experience deploying machine learning models in a production environment.
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 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@example.com.. 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. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.
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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.