Lead ML / Data Scientist

In this role, you will be working alongside other data scientists and data engineers to develop and maintain products that provide key insights on industry trends using various machine learning and statistical techniques on both proprietary and open data sources. You should have over 10 years of experience in developing products/services using Data Science and Analytics. Your key responsibilities will include: - Participating in complex analytical projects and applying data engineering techniques to support new or existing data products - Supporting the team or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, client presentations, and policy decisions - Mentoring junior team members on various algorithms, tools, and techniques in the field of data science Qualifications required for this role: - 10+ years of industrial/research experience in a Data Science/Engineering Team - 2-3 years of experience in working in time series forecasting - 2+ years of experience in working with cloud technologies AWS/Dataricks - 1+ years of experience in implementing LLMs for analytics products/services - 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB, etc.) - Experience in creating docker containers - Experience working on end-to-end analytics projects from requirements analysis to project deployment - Ability to perform complex data analysis and statistical modeling in R/Python and/or Spark - Knowledge of RDBMS concepts and experience working with SQL - Understanding of data visualization principles and experience with data visualization tools such as Tableau - Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science) In addition to the job description, the company, S&P Global, is committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. They offer various benefits such as health & wellness coverage, flexible downtime, financial planning, and beyond-the-basics perks to their employees. S&P Global is an equal opportunity employer and values diversity in the workplace. In this role, you will be working alongside other data scientists and data engineers to develop and maintain products that provide key insights on industry trends using various machine learning and statistical techniques on both proprietary and open data sources. You should have over 10 years of experience in developing products/services using Data Science and Analytics. Your key responsibilities will include: - Participating in complex analytical projects and applying data engineering techniques to support new or existing data products - Supporting the team or management by producing quick-turnaround analysis, model development, and quality assurance for product development, consulting projects, client presentations, and policy decisions - Mentoring junior team members on various algorithms, tools, and techniques in the field of data science Qualifications required for this role: - 10+ years of industrial/research experience in a Data Science/Engineering Team - 2-3 years of experience in working in time series forecasting - 2+ years of experience in working with cloud technologies AWS/Dataricks - 1+ years of experience in implementing LLMs for analytics products/services - 5+ years of experience working with Big Data tools (Spark, PySpark, Cassandra, MongoDB, etc.) - Experience in creating docker containers - Experience working on end-to-end analytics projects from requirements analysis to project deployment - Ability to perform complex data analysis and statistical modeling in R/Python and/or Spark - Knowledge of RDBMS concepts and experience working with SQL - Understanding of data visualization principles and experience with data visualization tools such as Tableau - Master's degree in a quantitative discipline (Computer Science, Mathematics, Econometrics, Engineering, Data Science) In addition to the job description, the company, S&P Global, is committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. They offer various benefits such as health & wellness coverage, flexible downtime, financial planning, and beyond-the-basics perks to their employees. S&P Global is an equal opportunity employer and values diversity in the workplace.