Senior Data Scientist

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas.

Responsibilities and Impact:

• Design solutions utilizing natural language processing (NLP) models, including chat assistants and retrieval-augmented generation systems.
• Develop Large Language Model (LLM) solutions that incorporate prompt engineering techniques, model fine-tuning, and alignment strategies.
• Evaluate NLP models using both human-supported and synthetic evaluation methods and metrics.
• Deploy NLP models while ensuring low latency, reliability, and scalability.
• Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking.
• Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems.
• Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed.
• Actively research and identify the latest relevant methods and technologies in the field.

What We’re Looking For:

Basic Required Qualifications:

• A degree in Computer Science, Mathematics, Statistics, Engineering or a related field.
• A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations.
• At least 5 years of professional experience in advanced analytics, data science, or machine learning.
• A minimum of 1 year of hands-on experience developing NLP solutions
• Demonstrated experience with programming languages and frameworks commonly used in machine learning.
• Mastery of Python, with the ability to write robust, high-standard, and testable code.

Additional Preferred Qualifications:

• Over 1 year of experience implementing information retrieval systems.
• Experience contributing to open-source initiatives, research projects, or participation in data science competitions.
• Publications related to machine learning or deep learning.
• Ability to work effectively in a team environment.
• Capability to report progress and summarize issues for a less technical audience.
• A curious and open-minded attitude toward new approaches and methodologies.

Benefits:

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized for your time on.
• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Equal Opportunity Employer:

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.