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Data Scientist

  • Localização
    • São Caetano do Sul, São Paulo
  • Tipo de trabalho Full time
  • Postou
  • Job Requisition JR-202610501

Descrição

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.

Informações sobre diversidade

A General Motors está comprometida em ser um local de trabalho que não só é livre de discriminação ilegal, como estimula verdadeiramente a inclusão e integração. Acreditamos enfaticamente que a diversidade na força de trabalho cria um ambiente no qual nossos colaboradores podem crescer e desenvolver melhores produtos para nossos clientes. Incentivamos os candidatos interessados a analisar as principais responsabilidades e qualificações de cada função e a se candidatar a qualquer cargo que corresponda a suas habilidades e capacidades. Os candidatos no processo de recrutamento podem, quando aplicável, ser solicitados a concluir com sucesso uma ou mais avaliações relacionadas à função e/ou uma seleção pré-emprego antes de iniciar o emprego.  Para saber mais, acesse Como contratamos.

Declaração de Igualdade de Oportunidades de Emprego (EUA)

A General Motors tem orgulho de ser um empregador que oferece oportunidades iguais.  Todos os candidatos qualificados serão considerados para o emprego, independentemente de raça, cor, religião, sexo, orientação sexual, identidade de gênero, origem nacional, deficiência ou status como veterano protegido. 

Adaptações (EUA e Canadá)

A General Motors oferece oportunidades a todos os candidatos a emprego, incluindo pessoas com deficiências. Se você precisa de uma adaptação razoável para ajudá-lo na sua pesquisa de cargos ou solicitação de emprego, fale conosco pelo e-mail [email protected] ou pelo telefone 800-865-7580. No seu e-mail, inclua uma descrição da adaptação específica que você está solicitando assim como o nome do cargo e o número de requisição do cargo ao qual está se candidatando.