Data Scientist

Charlottesville, VA, United States
Posted 10 days ago
Main Location
United States
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Job Description

The Data Scientist is a member of S&P Global's AI Engineering group who partners with machine learning engineers and business partners to design and build AI-centric applications that transform S&P Global's products and operations. Our data scientists apply the breadth of modern techniques in machine learning and natural language processing to build systems that power worldwide markets. Working at S&P Global — where data is the primary raw material, the core strategic asset, and the finished product — presents a rare opportunity for data scientists to multiply their impact across every level of the business.


  • Partner with machine learning engineers to identify, scope, prototype, develop, deploy, and operate AI-powered applications in production settings
  • Work with stakeholders to design and implement robust machine learning systems that solve business problems
  • Stay abreast of emerging AI technologies to drive S&P Global's vision for its products and operations
  • Evangelize data science concepts and wins to audiences inside and outside of S&P
  • Approach problem-solving with a machine-learning-first mindset

Basic Qualifications

  • University degree in engineering or a related field
  • Experience seeking out problems and identifying and proposing creative, data-driven solutions
  • Strong programming skills with an understanding of what it takes to write and share high-quality code
  • Good conceptual knowledge of probability, statistics, and computer science
  • Strong SQL skills
  • Fluency in Python
  • Experience with machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow
  • Strong oral and written communication skills
  • Entrepreneurial spirit

Preferred Qualifications

  • Graduate degree in a technical field
  • Experience designing, developing, and operating machine learning systems in production settings
  • A passion for designing and building software to help solve problems
  • Proficiency in an advanced data science topic, such as:
    • Computer vision
    • Natural language processing
    • Probabilistic programming
  • Publicly demonstrated data science competency, such as:
    • Conference talks
    • Open-source contributions
    • Published research
  • Knowledge of the finance and investment industry


  • Flexible work schedules
  • 4 weeks' paid vacation annually
  • Supportive community of data scientists and machine learning engineers
  • Access to industry-leading financial data sets


  • The AI Engineering group is based in Charlottesville, VA, but we welcome applicants in many U.S. office locations, as well as those who are home-based.
  • Our application process includes completing and presenting a take-home data science challenge — if this sounds like a fun opportunity, you're in the right place.
  • Positions are available at all levels.
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