Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
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
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Not specified
Degree requirement
Tech skills
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