Senior Data Scientist building AI - driven products transforming commerce transactions into investment signals. Collaborating with high - performance teams to ensure compliance and governance standards.
About the role
- Data Engineer at S&P Global will architect, build, and maintain data infrastructure. Collaborate with data scientists and stakeholders to support advanced analytics and machine learning initiatives.
Responsibilities
- To collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs.
- To design, construct, install, and maintain large-scale processing systems and other infrastructure.
- To build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data.
- To implement ETL processes to acquire, validate, and process incoming data from diverse sources.
- To ensure data architecture and model adhere to compliance, privacy, and security standards.
- To work in conjunction with data scientists to optimize data science and machine learning algorithms and models.
- To provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors.
- To manage the deployment of analytics solutions into production and maintain them.
- To maintain high-quality processes and deliver projects in collaborative Agile team environments.
Requirements
- 5 + years of programming experience particularly in Python.
- 4 + years of experience working with SQL or NoSQL databases.
- University degree in Computer Science, Engineering, Mathematics, or related disciplines.
- Strong understanding of big data technologies such as Hadoop, Big data processing engines, or Distributed streaming platform.
- Demonstrated ability to design and implement end-to-end scalable and performant data pipelines.
- Experience with workflow management platforms like Airflow.
- Strong analytical and problem-solving skills.
- Ability to collaborate and communicate effectively with both technical and non-technical stakeholders.
- Experience building solutions and working in the Agile working environment.
- Experience working with git or other source control tools.
- Machine learning/Data Science experience.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Pricing Data Scientist optimizing pricing strategy at Sabadell Zurich. Leading GLM model development and collaborating with Product and Claims teams.
Data Scientist Intern at PG&E developing system performance monitoring tools using operational datasets. Collaborating with the System Performance Monitoring team to support grid modernization technologies.
Clinical Data Manager responsible for overseeing end - to - end data management study activities at GSK. Ensuring quality and compliance in key deliverables for clinical trials.
Senior Data Scientist improving airport operations by creating passenger forecasts and resource needs. Collaborating within a multidisciplinary team in Denmark's biggest airport.
Staff Data Scientist developing AI - driven solutions for women's health leveraging data and analytics. Collaborating with interdisciplinary teams to enhance radiologic procedures with advanced technologies.
Senior Data Scientist forecasting weather - driven incidents and staffing needs at Gridware, enhancing grid management operations through advanced analytics.
ML Engineer building configurable ML systems that drive enterprise growth outcomes. Working closely with high - level stakeholders to translate business challenges into ML solutions.
Senior Data Scientist advancing Cotality's geocoding product. Collaborating with a cross - functional team to enhance address standardization and geocoding services.
Data Manager leading the Quality Assurance Data Analysis team at Florida Department of Children and Families. Responsible for performance measures, executive presentations, and continuous improvement plans.