Data Scientist

Values & Innovation

At Under Armour, we are committed to empowering those who strive for more, and the company’s values – Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality – serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we’re here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team’s mission of being the best. With us, you get the freedom to go further – no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on the Internal Career Site Here. 

Purpose of Role

We are seeking a dynamic Data Scientist to join our Enterprise Data Management & Analytics organization. This dual-focused role requires you to balance traditional data science responsibilities with strategic support for our Advanced Analytics & AI initiatives. You will spend half of your time developing and deploying machine learning solutions, while the other half will involve leveraging your expertise and internal knowledge to uncover high-impact opportunities, assess feasibility, and guide the implementation of innovative AI and analytics solutions.

Your Impact

• Develop, maintain, and expand machine learning and AI solutions to support critical functions such as global price optimization and enterprise data management.
• Utilize AWS cloud computing and MLOps best practices to deploy scalable models effectively.
• Innovate with novel statistical and machine learning methodologies to tackle complex business challenges.
• Develop deep expertise in our internal modeling approaches and translate technical insights into actionable recommendations for a diverse audience.
• Continuously update your skills with emerging technologies and modeling techniques to drive technical excellence.
• Work collaboratively to drive improvements through the lifecycle of each product to ensure the technical implementation appropriately aligns with business goals.
• Collaborate with cross-functional teams to identify and evaluate high-impact opportunities across business units.
• Act as a strategic partner by guiding the design and implementation of AI-driven solutions that align with evolving business objectives.
• Work closely with the Advanced Analytics & AI teams to integrate cutting-edge generative AI techniques and advanced analytics methods into our operational framework.
• Communicate effectively with technical and non-technical stakeholders to ensure clarity, alignment, and buy-in throughout the project lifecycle.

Qualifications

• 3+ years of data querying languages, scripting languages or statistical/mathematical software experience OR Master’s degree with typically 1 year(s)+ of relevant experience. 
• Proficiency with SQL and Python.
• Ability to apply data science to real-world problems, capable of breaking down complex problems into key components solvable by machine learning solutions.
• Knowledgable of limitations and best practices related to model specification, comparison, selection, and deployment.
• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
• Prior experience working on an agile team preferred
• Prior experience leveraging version control (e.g., Git, SVN) in a team setting preferred

Bonus Qualifications:

• Ability to help guide deep-dive sessions to ideate production path to solutions.
• Writing skills to create and deliver tutorials, newsletters and presentations for technical, business, and executive stakeholders.
• Experience experimenting with current Generative AI tools from a variety of models. 
• Prior experience with AWS services (e.g., Sagemaker, S3, ECR).

Workplace Location

• Location: Fully Remote
• Return to Work Designation: Fully Remote
• Travel: 5% of the year 
• Licenses/Certifications: N/A

Relocation

• No relocation provided

Base Compensation

 $101,386.00 – $139,406.30 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual’s relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

Benefits & Perks

• Paid “UA Give Back” Volunteer Days: Work alongside your team to support initiatives in your local community
• Under Armour Merchandise Discounts
• Competitive 401(k) plan matching
• Maternity and Parental Leave for eligible and FMLA-eligible teammates
• Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

Our Commitment to Diversity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Accommodation is available for applicants with disabilities upon request.