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Data Scientist - Job Opportunity at S&P Global

Virtual, Mexico
Full-time
Mid-level
Posted: June 7, 2025
Remote
USD 70,000 - 95,000 per year based on Mexico market rates for mid-level data scientists in multinational corporations, with potential for additional performance bonuses and comprehensive benefits package that effectively increases total compensation to USD 85,000 - 115,000 equivalent value

Benefits

Comprehensive health care coverage designed for both physical and mental wellness, providing superior medical protection compared to industry standards
Generous flexible time off policy that exceeds typical vacation allowances, enabling better work-life integration
Extensive continuous learning resources and professional development programs that accelerate career advancement
Competitive compensation package with robust retirement planning and financial wellness programs that secure long-term financial stability
Company-matched student loan contribution program for continuing education, demonstrating investment in employee growth
Family-friendly benefits including best-in-class support for partners and dependents, creating comprehensive family security
Retail discounts and referral incentive programs that provide additional financial value beyond base compensation

Key Responsibilities

Lead automation development initiatives using Python, SQL, Snowflake, and Power BI to transform and optimize critical data processing workflows, directly impacting organizational efficiency and decision-making capabilities
Execute comprehensive data validation and discrepancy resolution processes across multiple enterprise data sources, ensuring data integrity that supports multi-million dollar business decisions
Develop mastery of industry-specific automotive datasets and reference data management systems, becoming a strategic knowledge asset for the organization's consulting practice
Conduct mission-critical preliminary data quality assessments before high-stakes client deliverables, safeguarding company reputation and client relationships
Drive cross-functional collaboration with global teams and stakeholders to align automation solutions with evolving business requirements, ensuring scalable technology adoption
Establish and maintain enterprise-level data management and quality control standards that support analytics, reporting, and strategic decision-making across the mobility consulting practice

Requirements

Education

A degree in computer science, information technology, mathematics, applied statistics, or similar

Experience

Entry to Mid-level

Required Skills

Good research and analytical skills Knowledge of SQL, Python, and R Ability to handle multiple tasks simultaneously Effective time keeping & organizational skills The ability to work independently & pro-actively in a global team Commitment to quality and continuous improvement Independent learning and accountability
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Sauge AI Market Intelligence

Industry Trends

The automotive industry is experiencing unprecedented disruption through electric vehicle adoption, connected car technologies, and digitized retail channels, creating massive demand for data scientists who can analyze complex mobility patterns and consumer behavior shifts. This transformation requires sophisticated predictive modeling and data integration capabilities to help traditional automotive companies navigate the transition to new business models. Automotive dealer network optimization has become a critical strategic priority as manufacturers adapt to changing consumer purchasing behaviors and the rise of direct-to-consumer sales models. Data scientists specializing in location analytics, market penetration modeling, and network planning are increasingly valuable as companies seek to optimize their physical footprint while maintaining market coverage. The convergence of traditional automotive data with new mobility data sources (telematics, IoT, digital transactions) is creating complex data integration challenges that require advanced technical skills in modern data platforms like Snowflake and cloud-based analytics solutions. Companies are investing heavily in automation and real-time data processing capabilities to maintain competitive advantage. Global consulting firms are expanding their automotive practice areas to capture the growing market for digital transformation services, creating opportunities for data scientists who can bridge technical expertise with industry knowledge and client-facing consulting skills.

Role Significance

Likely part of a 5-8 person regional consulting team within S&P Global Mobility's larger practice, with direct collaboration across global teams and regular interaction with automotive industry clients at director and VP levels
This is a mid-level data scientist position with significant client-facing responsibilities and automation development ownership, indicating substantial autonomy and impact on business outcomes. The role combines technical depth with consulting skills, positioning it as a strategic contributor rather than a purely technical implementer.

Key Projects

Automotive dealer network optimization studies for major manufacturers entering new markets or restructuring existing operations Electric vehicle market penetration analysis and charging infrastructure planning projects Connected car data integration and analytics platform development for OEM clients Market coverage and sales territory optimization projects for automotive importers and distributors Predictive modeling for automotive retail transformation and digital channel optimization

Success Factors

Deep technical proficiency in modern data stack technologies (Python, SQL, Snowflake, Power BI) combined with the ability to translate complex technical concepts into actionable business insights for automotive industry executives and decision-makers Strong project management and stakeholder communication skills to manage multiple client engagements simultaneously while maintaining quality standards and meeting critical delivery deadlines in a fast-paced consulting environment Industry curiosity and continuous learning mindset to stay current with rapidly evolving automotive trends, from electric vehicle adoption patterns to autonomous driving technology impacts on traditional business models Cross-cultural collaboration effectiveness and global team integration skills, essential for working across time zones and cultural contexts while maintaining consistent service delivery standards Quality-focused approach with attention to detail in data validation and analysis, recognizing that consulting deliverables directly impact client strategic decisions worth millions of dollars

Market Demand

High demand driven by automotive industry digital transformation, with particular strength in Mexico due to the country's significant automotive manufacturing presence and S&P Global's expansion of regional consulting capabilities

Important Skills

Critical Skills

Python programming proficiency is essential as the primary tool for automation development, data processing, and analytics delivery, with advanced capabilities in pandas, numpy, and data visualization libraries being fundamental to daily responsibilities and client deliverable creation SQL expertise is critical for data extraction, validation, and integration across multiple enterprise data sources, particularly important given the complex automotive industry data landscape that includes manufacturing, sales, registration, and market research datasets Power BI skills are vital for creating client-facing dashboards and reports that communicate complex analytical insights to automotive executives, requiring both technical proficiency and design thinking to create compelling data visualizations Research and analytical skills form the foundation of consulting value delivery, enabling the synthesis of complex automotive industry trends with quantitative analysis to generate actionable recommendations for client strategic decisions

Beneficial Skills

R programming knowledge provides additional statistical analysis capabilities and flexibility for advanced modeling projects, particularly valuable for automotive market research and forecasting applications Automotive industry experience or knowledge accelerates client credibility and project effectiveness, though the role provides opportunities to develop this expertise through direct exposure to industry challenges and datasets Time management and organizational skills become increasingly important as responsibilities span multiple client projects with varying deadlines and stakeholder expectations, requiring sophisticated project coordination abilities Global team collaboration and cross-cultural communication skills enhance effectiveness in S&P Global's international operating model and support career advancement opportunities within the organization's global consulting practice

Unique Aspects

Direct client interaction and consulting responsibilities rare for mid-level data scientist roles, providing accelerated exposure to business strategy and executive-level communication
Specialization in automotive industry during a period of unprecedented transformation, offering unique learning opportunities and career positioning in a high-growth sector
Global team collaboration model that provides international experience and cross-cultural skills development while working remotely from Mexico
Access to proprietary automotive datasets and industry intelligence that few other organizations can provide, creating distinctive expertise and market knowledge
Combination of automation development and consulting delivery, building both technical depth and business acumen in a single role

Career Growth

2-3 years to senior individual contributor roles, 4-5 years to team leadership or principal consultant positions, with accelerated progression possible based on client impact and business development contributions

Potential Next Roles

Senior Data Scientist or Lead Data Scientist within S&P Global Mobility, taking on larger client accounts and team leadership responsibilities Principal Consultant or Director roles in automotive consulting, combining deep technical expertise with business development and client relationship management Product Manager or Solution Architect roles focused on mobility analytics platforms and data products Industry specialist roles at automotive OEMs or tier-1 suppliers, leveraging consulting experience to drive internal digital transformation initiatives

Company Overview

S&P Global

S&P Global is a leading provider of essential intelligence and analytics across multiple industries, with S&P Global Mobility representing a specialized division focused on automotive and transportation insights. The company has established itself as a critical information provider to automotive manufacturers, suppliers, dealers, and financial institutions worldwide, offering both subscription data services and bespoke consulting projects.

S&P Global Mobility holds a strong competitive position in the automotive data and analytics market, competing with established players like IHS Markit (now part of S&P Global), AutoTrader, and emerging technology providers. The company's strength lies in its comprehensive data coverage, analytical rigor, and global reach, making it a trusted advisor for major automotive industry decisions.
The Mexico-based virtual position reflects S&P Global's strategic expansion into Latin American markets, leveraging Mexico's position as a major automotive manufacturing hub and gateway to both North and South American markets. This role likely supports both regional clients and global engagements requiring Spanish language capabilities and cultural understanding.
S&P Global emphasizes a data-driven, intellectually rigorous culture that values integrity, discovery, and partnership. The company's focus on 'Essential Intelligence' creates an environment where analytical excellence and client impact are highly valued, with strong support for professional development and global collaboration.
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