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JobDescription : 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
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
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:
Natural language processing
Publicly demonstrated data science competency, such as:
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.
Internal Number: 6501558
About S&P Global
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