Data Scientist (Level I / Level II)

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following

: Perform advanced analytics, including statistical analysis, predictive modeling, and machine learning, to generate actionable insights that improve business outcomes and support decision-making. Partner with stakeholders to translate business needs into data-driven solutions, working across a variety of structured and unstructured data environments. This role spans multiple experience levels, with scope and complexity increasing based on experience and ability to solve more ambiguous problems. Essential Duties and

: • Analyze large, complex datasets to identify trends, patterns, and opportunities • Develop, test, and deploy statistical and machine learning models to solve business problems • Translate business questions into analytical approaches and actionable insights • Communicate findings through data visualization and clear storytelling to influence stakeholders • Partner with cross-functional teams to define

and deliver data-driven solutions • Perform data preparation, cleansing, and feature engineering across multiple data sources • Write, maintain, and deploy code to support analytics and modeling solutions • Apply sound judgment and follow best practices related to data governance and risk management Level Expectations: • Data Scientist I: Applies foundational knowledge to well-defined problems, working with guidance while developing technical and business expertise • Data Scientist II: Works independently to solve more complex and ambiguous problems, designs end-to-end solutions, and influences outcomes through deeper stakeholder partnership