Senior Data Scientist at S&P Global

We are seeking a Senior Data Scientist to drive our analytics and data science initiatives. In this role, you will be responsible for designing and implementing sophisticated analytical models to derive actionable insights from complex datasets. Your expertise will directly influence our strategic decision-making and enhance our data-driven capabilities. On a day-to-day basis, you will engage in feature engineering, data engineering, and machine learning tasks utilizing R and Python. You will conduct statistical analysis, optimization, and data ingestion processes within a big data environment, leveraging SQL for effective data manipulation and querying. Collaborating with cross-functional teams, you will ensure the integrity and accessibility of data for various projects. As part of a dynamic and innovative team, you will have opportunities for professional growth and development. You will work closely with data engineers, analysts, and product managers, providing mentorship and sharing knowledge to elevate the team's overall expertise. This role is unique as it allows you to lead impactful data projects while working remotely, offering a chance to shape the future of data science within our organization.

Design and implement robust data pipelines for efficient data ingestion and processing. Build advanced machine learning models to drive actionable insights from large datasets. Lead feature engineering efforts to enhance model performance and prediction accuracy. Architect solutions for big data processing to ensure scalability and reliability. Drive statistical analysis initiatives to uncover trends and patterns in complex datasets. Optimize data workflows using SQL and Python to improve processing times. Collaborate with cross-functional teams to integrate data solutions across platforms. Mentor junior data scientists in best practices for data engineering and analysis.

Competitive salary and comprehensive health benefits to support employee well-being. Generous paid time off policy promoting a healthy work-life balance. Access to professional development resources and training programs for career advancement. Opportunities for attending industry conferences and workshops to enhance skills. Inclusive company culture fostering collaboration and innovation among teams. Flexible work arrangements to support individual and family needs.