Decision Scientist 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 job description: Act as an individual contributor supporting analytics projects and executing against the objectives of assigned business group. Using an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, will work both independently and with internal teammates to produce analytic insights that help the Line of Business (LOB) make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. Focus on high impact, visible analyses and initiatives across multiple busi [... source excerpt omitted ...] ion. Explore and apply tools to solve business challenges and deliver solutions that are timely, accurate, and repeatable. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices. Foster communication and partnership across multiple levels of the organization including engagement with LOB contributors and junior-level managers. Requirements Must have a Bachelor’s degree in Data Science, Analytics, Statistics, Finance or related quantitative field Must have 3 years of experience in analytics or research positions performing/utilizing the following: Performing quantitative analysis and data anal [... source excerpt omitted ...] including regex, filtering, indexing, interpolation, and outlier treatment. Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions. Data Engineering and ML-Ops to both effectively extract, transform, load the data and for further model deployment, including model maintenance and operation. Working knowledge of transaction processing application software, application processing systems, and collection inventory systems Performing in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights Connecting to practical application, provi