VF Corporation-posted 1 day ago
Full-time • Mid Level
Costa Mesa, CA
5,001-10,000 employees

VF Corporation is looking for an exceptional Sr Data Scientist to join our Data & Analytics team based in Costa Mesa . Let’s talk about the role! The ideal candidate will have 4-5 years of experience in data science, with a strong focus on advanced forecasting. This role will involve developing and implementing advanced forecasting techniques, while working side-by-side with the business, to drive adoption of AI recommendations and support business trading optimization cycles

  • Develop next gen forecasting models to fuel our regional trading activities
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Work closely with data/ cloud Engineers, architect, devops and product owners, to promote cross functional team collaboration and co creation of value-added analytics solutions
  • Present findings and recommendations to senior business stakeholders in the regions.
  • Embed capability and create AI trust in the business community
  • Play as a organizational change agents, to support AI and Gen.AI transformation in the organization.
  • Stay up-to-date with the latest advancements in AI and machine learning, and apply them to enhance our fashion products and services
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or Engineering
  • Advanced Forecasting & Time Series Modelling: Extensive experience in time series forecasting using machine learning (XGBoost, LightGBM), deep learning frameworks (e.g., NeuralForecast, N-BEATS), and zero shot models. Proficient in ensemble modelling, hierarchical and multivariate forecasting, as well as probabilistic and prediction intervals.
  • Python Expertise: Strong programming skills in Python with deep knowledge of core scientific libraries such as pandas, numpy, scikit-learn, and matplotlib, as well as specialized packages like neural forecast, stats models, prophet, xgboost, and lightgbm.
  • Optimization Models: exposure to optimization techniques (e.g., linear/non-linear programming, constrained optimization) for resource allocation and inventory management.
  • Model Evaluation & Validation: Skilled in evaluating forecasting models using robust techniques such as time-series cross-validation and back-testing. Strong grasp of key performance metrics including MAE, MAPE, RMSE, SMAPE, and prediction interval coverage.
  • Data Management & SQL: Proficient in writing efficient SQL queries to extract, join, and transform data from large-scale relational databases in support of modelling and analysis.
  • Version Control & Collaboration: Experienced in using Git and GitHub for source control, code review, and collaborative model development in agile environments.
  • Cloud Platforms & MLOps: Hands-on experience with cloud environments including AWS or Azure for scalable data processing and model deployment. Proficient in using Databricks for collaborative development and Spark-based pipelines. Familiar with MLflow for experiment
  • A supportive feedback-based culture where respect and integrity guide us in what we do
  • An inclusive international environment where people of diverse backgrounds, lifestyles and nationalities love working together
  • Be part of an iconic lifestyle brand in a multi brand, multi countries organization
  • On site gym offering health and well-being initiatives
  • A discount card with 50% on all VF brands
  • Break out areas offering complimentary hot drinks
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