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      Urgent! Lead Data Scientist Position in Ciudad Juárez - S&P Global
 
                        
                         S&P Enterprise Data Organization
Lead Data Scientist The Team: As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global.
You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment.
You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative.
What’s in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP project: custom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment tools: Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelor’s) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Location: Mexico City, Santa Fe (2 days a week onsite)
                      
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Ciudad Juárez, Mexico (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Ciudad Juárez, Mexico using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 5598 jobs in Mexico and 461 jobs in Ciudad Juárez. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! S&P Global is currently hiring and seeking a Lead Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Lead Data Scientist Jobs Ciudad Juárez.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at S&P Global adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Scientist Jobs Mexico varies, but the pay scale is rated "Standard" in Ciudad Juárez. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Lead Data Scientist interview at S&P Global, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the S&P Global's products or services and be prepared to discuss how you can contribute to their success.
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