[Hiring] Senior Data Scientist @S&P Global

Role Description

Standard & Poor's Financial Services LLC seeks a Senior Data Scientist who will:

• Lead end-to-end data pipeline design for large-scale and complex datasets, including data ingestion, feature engineering, and optimization.
• Independently translate business requirements into analytical frameworks and technical solutions.
• Present analytical findings, proposed solutions, and strategic recommendations directly to senior stakeholders and business leaders.
• Design, develop, and apply advanced machine learning and Generative AI models to solve business problems and improve decision-making.
• Serve as a subject-matter resource by advising internal teams on the effective use of Generative AI tools and responding to technical inquiries.
• Mentor co-op data science students, review their analytical work, and provide technical guidance and feedback.

Qualifications

• Master’s degree in Data Science, Analytics, Computer Science, Statistics, Mathematics, or a related quantitative field.
• One (1) year of experience in data science or a related occupation.
• Experience must include:
  • Developing and applying statistical and machine learning models.
  • Programming in Python for data analysis and modeling.
  • Utilizing SQL to query and manipulate relational databases.
  • Working with large, complex datasets.
  • Building data pipelines or analytical workflows.
  • Developing and applying natural language processing or Generative AI models.
  • Creating data visualizations or analytical outputs using visualization tools or libraries.

Requirements

• The anticipated base salary range for this position is $157,068 to $170,400.
• Final base salary will be based on the individual’s geographic location, experience level, skill set, training, licenses & certifications.
• This role is eligible for an annual incentive plan.
• This role is eligible to receive additional S&P Global benefits.

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: Best-in-class benefits for families.
• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.