Senior AI Solutions Engineer, AI Studio

VF Corporation•Denver, CO
•$142,560 - $178,200

About The Position

At VF, we strive to foster a culture of belonging based on respect, connection, openness, and authenticity. So, before we get to the job details, take a minute to learn a little more about us – our values and our culture - visit VF Careers or www.vfc.com. What will you do? A day in the life of a Senior AI Solutions Engineer, AI Studio at VF looks a little like this. Apply advanced data science methods to solve business problems, generate actionable insights, and support data-driven decision making. Partners with cross-functional teams develop analytical models, optimize processes, and translate complex data into business value. Let’s break down that day-in-the-life a bit more.

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Equivalent relevant experience may be considered in lieu of a degree.
  • Typically 5+ years of experience in data science, advanced analytics, or a related discipline.
  • Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
  • Proficiency in Python, R, SQL, and data visualization tools.
  • Experience working with cloud-based data platforms and large-scale datasets.
  • Strong communication and stakeholder management skills with the ability to explain technical concepts to non-technical audiences.

Responsibilities

  • Design, develop, and deploy statistical, predictive, and machine learning models to address business challenges.
  • Analyze large, structured and unstructured datasets to identify trends, opportunities, and risks.
  • Collaborate with business, product, and technology teams to define analytical requirements and translate them into scalable solutions.
  • Communicate findings and recommendations through clear visualizations, reports, and presentations.
  • Ensure data quality, integrity, and adherence to governance standards.
  • Contribute to the continuous improvement of analytics capabilities, methodologies, and best practices.
  • Support the evaluation and implementation of emerging data science tools and technologies.

Benefits

  • annual incentive plan
  • sales incentive
  • commission potential
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