Descripción

The Data Scientist – Purchasing will use advanced analytics, statistical modeling, machine learning, and artificial intelligence to support strategic decision-making across the Purchasing organization. This role will transform complex procurement, supplier, cost, and supply chain data into actionable insights that improve cost competitiveness, forecasting, supplier performance, risk management, and operational efficiency.

The position will partner closely with Purchasing, Supply Chain, Finance, Engineering, and IT teams to identify high-value opportunities and deliver scalable, data-driven solutions.

Key Responsibilities

Analyze Purchasing, supplier, spend, material, logistics, and supply chain data to identify trends, risks, opportunities, and cost-reduction levers.
Develop statistical models and machine learning solutions for demand forecasting, price prediction, should-cost analysis, supplier performance, risk assessment, and sourcing decisions.
Build predictive and prescriptive analytics solutions to support negotiations, sourcing strategies, inventory decisions, and purchasing performance management.
Create data products, dashboards, and analytical tools using Python, SQL, Power BI, and other relevant platforms.
Integrate and prepare data from multiple sources, such as ERP, procurement, supplier, finance, and operational systems.
Establish robust data preparation, feature engineering, model training, validation, deployment, and monitoring processes.
Apply artificial intelligence and generative AI techniques to automate repetitive activities, extract insights from unstructured data, and improve Purchasing workflows.
Translate business problems into analytical approaches, clearly defining objectives, assumptions, metrics, and expected business impact.
Present complex analyses and model results in a clear and practical manner to technical and non-technical stakeholders.
Partner with cross-functional teams to embed analytical solutions into business processes and decision-making routines.
Ensure the quality, traceability, security, and appropriate use of data and analytical models.
Document methodologies, assumptions, code, models, results, and user guidance in accordance with internal standards.
Continuously monitor the performance and business value of analytical solutions, recommending improvements when necessary.

Required Qualifications

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Business Analytics, or a related field.
Professional experience in data science, advanced analytics, machine learning, business intelligence, or a related area.
Strong programming skills in Python and solid experience with SQL for data extraction, transformation, analysis, and modeling.
Practical experience with statistical analysis, predictive modeling, machine learning algorithms, and model evaluation techniques.
Experience working with large, complex, and heterogeneous datasets from multiple business systems.
Experience developing analytical solutions that translate business questions into measurable insights and recommendations.
Strong knowledge of data preparation, exploratory data analysis, feature engineering, visualization, and data storytelling.
Experience using Power BI, Tableau, or a comparable data visualization and reporting platform.
Ability to communicate technical concepts, analytical findings, limitations, and business implications clearly to different audiences.
Demonstrated ability to work collaboratively with business and technical stakeholders in a cross-functional environment.
Professional proficiency in English, with the ability to participate in meetings and prepare technical and business documentation.

Preferred Qualifications

Experience in Purchasing, Procurement, Supply Chain, S&OP, Strategic Sourcing, or Supplier Management.
Experience with spend analytics, should-cost modeling, commodity analysis, sourcing optimization, or supplier risk management.
Experience with Databricks, Oracle, Snowflake, Azure, AWS, or comparable data platforms.
Familiarity with cloud-based machine learning platforms and MLOps practices.
Experience with forecasting, optimization, simulation, recommendation systems, natural language processing, or generative AI.
Knowledge of procurement and supply chain data structures, including materials, suppliers, contracts, purchase orders, invoices, and lead times.
Experience with KNIME, Alteryx, R, Excel, or other analytics and automation tools.
Familiarity with Agile methodologies, including Scrum.
Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.

What Makes This Position Different

This role combines advanced data science with real Purchasing and Supply Chain challenges. The successful candidate will work directly with business leaders and operational teams to turn data into decisions that influence costs, suppliers, sourcing strategies, resilience, and productivity.

The position offers the opportunity to build practical AI and machine learning solutions with visible impact across the Purchasing organization, supporting its digital transformation and creating more predictive, efficient, and data-driven processes.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar. Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido.

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.