Python jobs in Mexico

S&P Global is looking for a Data Scientist who will be a part of our Data Science and Modelling team. The ideal candidate should be highly motivated and goal-oriented, with an encouraging attitude of working in a very dynamic work environment with a wide range of stakeholders and functional teams.

As a Data Scientist at S&P Global, you will utilize your extensive technical skills to architect, build, and maintain our evolving data infrastructure, which is essential for supporting our advanced analytics and machine learning initiatives. You will work closely with various stakeholders to acquire, process, and refine vast datasets, focusing on creating scalable and optimized data pipelines. Your work will be pivotal for enabling data scientists to extract meaningful insights and develop AI-driven solutions that serve various business purposes, from internal decision-making to product development.

• 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.

• 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

Mexico City Virtual (the role is a work from home role but during the interview process there is one onsite meeting on Mexico City)

At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value.

We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping.

S&P Global Commodity Insights is a division of S&P Global (NYSE : SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race / ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.