Data Scientist

Role Overview

The Data Scientist will develop key data science products, methods, and models across the full analytics lifecycle. They will lead the development of data science methods, models, and products in support of North America stakeholders, and continuously improve methodologies and challenge the status quo.

What You Will Do

The Data Scientist will develop and nurture a data science network, support presenting and promoting results and insights to adidas colleagues, manage relationships with key stakeholders, and act as an ambassador for data science products.

Why It Might Be a Fit

The ideal candidate will have a proven track record of working with senior stakeholders, proficiency in data science methods, and experience with Python and data science programming frameworks.

Requirements

• Bachelor or Master’s degree in Data Science, Mathematics, Statistics, or related technical discipline.
• At least 5-7 years work experience, preferably in a data science or analytics environment.
• Proficiency in data science methods (including supervised techniques, unsupervised techniques, recommender systems).
• Proficiency in Python and at least three of the standard data science programming frameworks (e.g., PySpark, Pandas, Numpy, sklearn, lightgbm, Matplotlib, Seaborn, mlflow).
• Familiarity with modern cloud compute platforms (e.g., Databricks, Snowflake).
• Solid understanding of relational databases and NoSQL databases.
• Proficiency in SQL.
• Solid understanding of Machine Learning Operations (MLOps) required to scale and sustain use cases in a large and global corporation.
• Concise written and oral communication skills (English).
• Ability to develop influential and collaborative relationships.
• High resilience and solution-oriented attitude.

Benefits

• Robust and progressive medical coverage
• Dental, vision, prescription drug coverage
• Adoption support
• Short and long-term disability
• Basic life and AD&D insurance
• 401k plan with employer match
• Stock Purchase Plan with employer match
• Education assistance
• Generous Leave policies including 14 weeks of paid parental leave
• Annual bonus based on company performance
• Flexible time off
• Twelve paid holidays throughout the calendar year
• Service Time Off during milestone years