Data Analytics Expert for Spend Optimization

hace 2 semanas


Ecatepec de Morelos, México Corteva Agriscience A tiempo completo
Job Overview

We are seeking an experienced Data Scientist with 4+ years of hands-on experience in working with complex data sets to join our Corteva Agriscience team. As a key member of the Procurement function, you will collaborate with cross-functional teams to extract insights and support business objectives through data analytics. Your expertise in Python or R programming, experience working with largely categorical information, and a track record for building automations make you an ideal candidate for this position.

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.

Estimated Salary Range: $120,000 - $180,000 per annum

The ideal candidate will be highly motivated, with a strong passion for leveraging data analytics to drive business outcomes. If you have a solid understanding of data modeling, pipeline management, and automation development, we encourage you to apply for this exciting opportunity.

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