Sr. Data Scientist

Under Armour
US - Oregon - Beaverton
November 15, 2024
IT

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 looking for a Senior Data Scientist to join our Enterprise Data Management & Analytics organization. As a member of the enterprise data science team, you will work on machine learning solutions supporting all of Under Armour's business units across the globe. You will be challenged to identify creative solutions to real world problems by leveraging cutting edge machine learning and statistical techniques, while striving to maintain rigorous scientific and engineering standards. You will collaborate with other data scientists, engineers, and business decision makers to develop the next generation of data driven products and initiatives at Under Armour.

Your Impact

Develop, maintain, and expand machine learning and AI solutions to support global price optimization and enterprise data management initiatives.
Leverage AWS cloud computing solutions to develop and deploy models at scale, adhering to internal best practices in data science and MLOps.
Propose novel statistical and machine learning methods to address key business challenges.
Become an expert in our internal price optimization modeling methodology -extracting and communicating insights and use cases to non-technical stakeholders and decision makers.
Stay up-to-date with emerging technologies and modeling techniques.
Work collaboratively to drive improvements through the lifecycle of each product to ensure the technical implementation appropriately aligns with business goals.
Identify opportunities for AI-driven innovation and collaborate with AI/ML scientists and stakeholders to research, design, develop, and evaluate cutting-edge generative AI algorithms to address business challenges.
Assist in building and enhancing AI capabilities and infrastructure within the organization.
Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.

Qualifications

5+ years of data querying languages, scripting languages or statistical/mathematical software experience OR Master's degree with typically 3+ of relevant experience.
Proficiency with SQL and Python.
Practical work experience with one or more of the following: XGBoost, LightGBM, Prophet, supply chain optimization models, Bayesian statistics.
Ability to apply data science to real-world problems, capable of breaking down complex problems into key components solvable by machine learning solutions.
Knowledgeable 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

$127,496.00 - $175,307.00 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.

Requisition ID: 159765

Location:

Read the full job description and apply online on the recuiter's web-site

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