Data Scientist Procurement Data Management

hace 4 semanas

Ecatepec de Morelos, México Corteva Agriscience A tiempo completo

About the Role

We are seeking an experienced Data Scientist to join our Procurement team at Corteva Agriscience. As a Data Scientist, you will play a key role in extracting insights from complex data sets and supporting business objectives through data analytics.

Key Responsibilities

  • Data Modeling and Pipeline Management
  • Build and fine-tune classification models in the areas of spend management, contract management, and operational effectiveness.
  • Develop and maintain data pipelines and architectures for efficient data processing and analysis.
  • Stay informed of new techniques for predictive/prescriptive modeling.
  • Automation Development
  • Identify and action upon opportunities to automate repetitive tasks from within the team.
  • Monitor and maintain automated processes to ensure optimal performance.
  • Mentor junior team members on automation skillsets.
  • Insights & Reporting
  • Perform exploratory data analyses, which may include machine learning, to uncover trends, patterns, and insights from large and complex datasets.
  • Develop, test, and implement data-driven solutions to support business objectives.
  • Oversee the quality and effectiveness of team dashboards and reports.
  • Data Management & Quality
  • Design and implement data collection and data quality processes.
  • Ensure data integrity and consistency across multiple sources and systems.
  • Develop and maintain documentation for data processes and analysis specifications.
  • Collaboration & Communication
  • Work closely with data engineers and business analysts to integrate data insights into production systems.
  • Communicate findings and insights to non-technical stakeholders through reports and presentations.

Qualifications

  • Education: Master's degree in Data Science, Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • Experience: 4+ years of professional experience in data analytics, with a proven track record of building and tuning classification models.
  • Language: Proficiency in English is required.

Technical Skills

  • Strong proficiency in Python or R programming.
  • Experience utilizing statistical methods and machine learning techniques.
  • Expertise in building and deploying predictive models.
  • Proficiency in Microsoft Azure, including Azure Data Factory and Databricks, or a demonstrated ability to learn new tools and platforms
  • Understanding of data visualization tools, with a preference for Power BI.
  • Experience with SQL for data manipulation and querying.
  • Data Management
  • Experience with data manipulation and cleaning tools (e.g., tidyverse, Pandas, Numpy).
  • Familiarity with data warehousing solutions (e.g., SQL Server, Amazon Redshift, Google BigQuery).

Soft Skills

  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, with the ability to convey technical concepts to a non-technical audience.
  • Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications

  • Certification in Data Analysis or related fields.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of Agile methodologies and version control systems (e.g., Git).
  • Procurement Background: Experience in procurement is an added advantage.

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