Sr. Data Scientist

$127,496 - $175,307/Yr

Under Armour

Full-time - Senior

Remote

Apparel Manufacturing

About the position

The Senior Data Scientist at Under Armour will be a key member of the Enterprise Data Management & Analytics organization, focusing on developing machine learning solutions that support various business units globally. This role emphasizes innovation, collaboration, and the application of advanced statistical techniques to solve real-world problems, while maintaining high scientific and engineering standards.

Responsibilities

• Develop, maintain, and expand machine learning and AI solutions for global price optimization and enterprise data management.
• Leverage AWS cloud computing solutions to develop and deploy models at scale, adhering to best practices in data science and MLOps.
• Propose novel statistical and machine learning methods to address key business challenges.
• Become an expert in internal price optimization modeling methodology, extracting and communicating insights to non-technical stakeholders.
• Stay updated with emerging technologies and modeling techniques.
• Collaborate to drive improvements through the product lifecycle, ensuring technical implementation aligns with business goals.
• Identify opportunities for AI-driven innovation and collaborate with AI/ML scientists to develop cutting-edge generative AI algorithms.
• Assist in building and enhancing AI capabilities and infrastructure within the organization.
• Communicate effectively to both technical and non-technical audiences.

Requirements

• 5+ years of experience with data querying languages, scripting languages, or statistical/mathematical software, or a Master's degree with typically 3+ years of relevant experience.
• Proficiency with SQL and Python.
• Practical experience with XGBoost, LightGBM, Prophet, supply chain optimization models, or Bayesian statistics.
• Ability to apply data science to real-world problems and break down complex problems into solvable components.
• Knowledge of model specification, comparison, selection, and deployment best practices.
• Ability to interpret and present specialized data to various audiences.

Nice-to-haves

• Experience working on an agile team.
• Experience with version control systems like Git or SVN.
• Ability to guide deep-dive sessions for solution ideation.
• Writing skills for creating tutorials and presentations for diverse stakeholders.
• Experience with current Generative AI tools and AWS services (e.g., Sagemaker, S3, ECR).

Benefits

• Paid "UA Give Back" Volunteer Days
• Under Armour Merchandise Discounts
• Competitive 401(k) plan matching
• Maternity and Parental Leave for eligible teammates
• Health & fitness benefits, discounts, and resources