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S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.
For more information, visit www.spglobal.com/mobility
The Team:
The Automotive Insights - Supply Chain, Technology, and IMR department at S&P Global Mobility is at the forefront of delivering critical intelligence and comprehensive analysis of the automotive industry. We specialize in providing actionable, data-driven insights that empower clients to navigate the complexities of the automotive ecosystem — spanning manufacturing, logistics, technological innovations, and market dynamics.
Our team collaborates closely with industry stakeholders to support strategic decision-making and drive growth within the automotive sector. By leveraging cutting-edge technologies, including Generative AI and Machine Learning, we are transforming how the automotive landscape is understood and shaped.
Join us to be part of a dynamic, innovative team that is redefining automotive intelligence.
Responsibilities and Impact:
As an Associate Data Scientist, you will play a pivotal role in developing intelligent, data-driven solutions that enhance our analytical capabilities and deliver meaningful insights to our clients. Your key responsibilities will include:
AI & Machine Learning Development
Design, develop, and deploy Generative AI and intelligent agent-based solutions to enhance predictive capabilities and automate complex processes
Build and fine-tune machine learning models to solve real-world automotive industry challenges
Apply best practices in model development, evaluation, and optimization to ensure high-quality, scalable solutions
Data Engineering & Pipeline Management
Design and optimize end-to-end data pipelines for efficient data processing, transformation, and integration across various platforms
Manage and maintain AWS-based data infrastructure, including storage, processing, and machine learning solutions
Insights & Collaboration
Collaborate with cross-functional teams — including product, engineering, and business stakeholders — to generate data-driven insights tailored to the automotive sector
Stay current with emerging technologies and industry trends to continuously enhance team capabilities
What We're Looking For:
Required Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Analytics, Statistics, or a related field
1–3 years of hands-on experience in building Machine Learning or Generative AI applications
Proficiency in data analysis and programming tools such as Python, R, or SQL
Strong understanding of machine learning algorithms, frameworks, and model evaluation techniques
Technical Skills
Expertise in AWS cloud services, including data storage (S3, Redshift), processing (Glue, Lambda), and ML solutions (SageMaker)
Familiarity with MLOps tools and practices for model versioning, monitoring, and lifecycle management
Solid knowledge of Generative AI techniques, including LLMs, prompt engineering, and AI agent frameworks
Good understanding of data engineering principles and pipeline optimization strategies
Soft Skills
Excellent verbal and written communication skills for effective collaboration across cross-functional teams
Strong analytical and problem-solving abilities with a proactive, solution-oriented mindset
Ability to work independently while managing multiple projects and deadlines simultaneously
A collaborative team player with a growth mindset and eagerness to learn
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.
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