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Data Scientist

  • 위치
    • São Caetano do Sul, São Paulo
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202610501

설명

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.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.