Lead Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Grade (relevant for internal applicants only):11

The Data Scientist is a member of S&P Global Market Intelligence's Data Science team who partners with machine learning engineers and business partners to design and build AI-centric applications that transform S&P Global Market Intelligence'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, from operations to technology, product, sales, and all other areas of the business.

Responsibilities

• 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

Perks

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

Practicalities

The MI Data Science team is based in Charlottesville, VA and New York, NY, but we welcome applicants in many U.S. office locations, as well as those who are home-based.