Machine Learning Expert

4 weeks ago


Boise, Idaho, United States Under Armour Full time

As a Machine Learning Expert at Under Armour, you'll play a critical role in developing and deploying machine learning models that drive business growth and improve customer experiences. You'll work closely with cross-functional teams to identify business opportunities and drive project delivery.

**About the Job:**

We're seeking a highly skilled data scientist with expertise in machine learning, statistical modeling, and data visualization. Your primary responsibility will be to develop and deploy machine learning models that support global price optimization and enterprise data management initiatives. You'll also collaborate with data engineering and analytics teams to ensure seamless integration and scalability of models.

**Key Responsibilities:**

* Develop, maintain, and expand machine learning and AI solutions to support key business challenges
* Leverage AWS cloud computing solutions to develop and deploy models at scale
* Propose novel statistical and machine learning methods to address complex business problems
* Collaborate with data engineering and analytics teams to ensure seamless integration and scalability of models
* Communicate technical insights and results to non-technical stakeholders and senior leaders

**Requirements:**

* 5+ years of experience in data science or related field, or Master's degree with typically 3+ years of relevant experience
* Proficiency in SQL, Python, and machine learning frameworks such as XGBoost and LightGBM
* Experience with supply chain optimization models and Bayesian statistics
* Strong analytical and problem-solving skills, with ability to communicate complex ideas to both technical and non-technical audiences

**What We Offer:**

* Competitive salary: $127,496 - $175,307 per year
* Opportunities for professional growth and development
* Collaborative and dynamic work environment
* Flexible remote work options

**Why Join Us?**

We're committed to creating a workplace where every employee feels empowered to take risks, experiment, and learn from their mistakes. If you're passionate about data science and want to join a team that values diversity, equity, and inclusion, we'd love to hear from you



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