Senior Manager, IBP and Data Science at Vans
Costa Mesa, CA 92626, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

237600.0

Posted On

07 Sep, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Git, Data Science, Resource Allocation, Sql, Optimization Models, Relational Databases, Prophet, It, Azure, Computer Science, Performance Metrics, Prediction, Machine Learning, Python, Model Development, Code Review, Constrained Optimization, Version Control, Aws

Industry

Information Technology/IT

Description

VF Corporation is looking for an exceptional SR Manager Data Science, to join our offices in Costa Mesa, California.

SKILLS FOR SUCCESS

  • Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or Engineering, with 7-8 years of experience in developing and managing DSML projects.

  • 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: proven experience in applying 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
  • Experience in managing medium size team.
  • Excellent communication and stakeholder management skills, with the ability to influence at all levels.
  • Retail/Fashion background will be considered a plus

VF is a global apparel company connecting people to the lifestyles they cherish through our family of iconic brands. At the heart of our journey lies our purpose: We power movements of sustainable and active lifestyles for the betterment of people and our planet. This is our purpose. It’s the reason we come to work every day. Our purpose unites us and leads us to pursue our goals, together. This is our calling. Learn more at vfc.com

Responsibilities

The ideal candidate will have 7-8 years of experience in data science, with a strong focus on advanced forecasting. This role will involve developing and implementing advanced models to drive cutting edge innovation across the value chain, with focus on Demand forecasting. Working side-by-side with the business, the resource will drive AI transformation in the business and regional commercial community

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