Data Scientist III

S&P Global, Inc.; A distancia; MXN 1,272,000 - 1,637,000; Jornada completa

Descripción de la vacante

A leading global data and analytics firm is seeking a Data Scientist III in Mexico City. This role will focus on architecting and maintaining data infrastructure for advanced analytics and machine learning initiatives, requiring expertise in Python, SQL, and big data technologies. Candidates should have 5+ years in programming, strong problem-solving skills, and the ability to work with diverse stakeholders. The company offers competitive pay, health benefits, and continuous learning opportunities.

Servicios

Health & Wellness benefits

Flexible time off

Continuous learning resources

Retirement planning

Family friendly perks

Retail discounts

Formación

• 5+ years of programming experience particularly in Python.
• 4+ years of experience working with SQL or NoSQL databases.
• Strong understanding of big data technologies such as Hadoop.
• Ability to collaborate effectively with both technical and non-technical stakeholders.

Responsabilidades

• Collaborate with stakeholders to understand and refine requirements.
• Design, construct, and maintain large-scale processing systems.
• Implement ETL processes to acquire and validate incoming data.
• Manage the deployment of analytics solutions into production.

Conocimientos

Python

SQL

NoSQL

Big Data technologies

Airflow

Machine Learning

Problem-solving

Collaboration

Educación

University degree in Computer Science, Engineering, Mathematics

Herramientas

Git

Descripción del empleo

About the Role:

Grade Level (for internal use): 10

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 on 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. 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.

What's in for you:

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.

Responsibilities:

• Collaborate with stakeholders, including data scientists, analysts, and other engineers, to understand and refine requirements related to data processing and transformation needs.
• Design, construct, install, and maintain large-scale processing systems and other infrastructure.
• Build high-performance algorithms, prototypes, and conceptual models and enable the efficient retrieval and analysis of data.
• Implement ETL processes to acquire, validate, and process incoming data from diverse sources.
• Ensure data architecture and models adhere to compliance, privacy, and security standards.
• Work in conjunction with data scientists to optimize data science and machine learning algorithms and models.
• Provide technical expertise in the resolution of data-related issues, including data quality, data lineage, and data processing errors.
• Manage the deployment of analytics solutions into production and maintain them.
• 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 an Agile working environment.
• Experience working with git or other source control tools.
• Machine learning/Data Science experience.

About S&P Global Energy

At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long‑term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.

S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world‑leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape.

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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [e-mail]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

Equal Opportunity Employer

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.

Accommodation During Application Process

If you need an accommodation during the application process due to a disability, please send an email to [e-mail] and your request will be forwarded to the appropriate person.

US Candidates Only

The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision – https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

Job ID and Posting Info

Job ID: 321277
Posted On: 2025-12-05
Location: Mexico City, Mexico