Data Scientist Home Office

S&Amp;P Global; A distancia; MXN 1,079,000 - 1,439,000; Jornada completa

Descripción de la vacante

A leading global analytics firm is looking for a skilled Data Scientist III to join their Data Science and Modelling team. This role involves building and maintaining a data infrastructure that supports advanced analytics and AI-driven solutions. Responsibilities include collaborating with stakeholders, building algorithms, implementing ETL processes, and ensuring compliance with data standards. Ideal candidates have 5+ years of programming experience, proficiency in Python and SQL, and a degree in a relevant field. This position is primarily work-from-home with a requirement for one onsite meeting in Mexico City.

Formación

• 5+ years of programming experience.
• 4+ years of experience with SQL or NoSQL databases.
• Demonstrated ability to design and implement scalable data pipelines.
• Experience working with machine learning/Data Science.

Responsabilidades

• Collaborate with stakeholders to refine data processing requirements.
• Build high-performance algorithms and models.
• Implement ETL processes for incoming data.
• Ensure compliance with data architecture standards.
• Optimize data science algorithms with data scientists.
• Resolve data-related issues including quality and processing errors.
• Manage deployment of analytics solutions.

Conocimientos

Python programming

SQL or NoSQL databases

Big data technologies

Data pipeline design

Agile working environment

Machine learning

Educación

University degree in Computer Science, Engineering, Mathematics or related disciplines

Herramientas

Hadoop

Airflow

Git or other source control tools

Descripción del empleo

Position

Data Scientist Home Office S&P Global • Puebla, Puebla (de los Angeles), México

The Role

Data Scientist III

Location

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

The Team

S&P Global is looking for a Data Scientist who will be a part of our Data Science and Modelling team.

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.

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.

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 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.

Qualifications

• 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.
• Experience building solutions and working in the Agile working environment.
• Experience working with git or other source control tools.
• Machine learning/Data Science experience.

About S&P Global Commodity Insights

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. 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.

Equal Opportunity

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.