Data Scientist IV

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Data Scientist IV

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Full Time Greenwood Village, Colorado Date posted 07/21/2026 Anticipated Close Date: 2026-07-26 04:38 PM (UTC) Business unit: Product and Technology Areas of interest: Database Administration/Architecture, Research/Analysis Requisition Number: 2026-74894 BDA328 Product and Technology

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. Are you ready to harness your analytical and programming skills to create data-driven solutions that tackle Spectrum’s business challenges? You could be a fit for our Data Scientist IV role. In this position you will work alongside network engineers, software engineers, and operations teams to develop data-driven approaches to identify customer impairments, improve network reliability, and support automation of issue detection. You will utilize analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. How You’ll Make an Impact  Partner on the design and implementation of statistical data quality procedures for existing and new data sources   Research and apply knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions   Develop Machine Learning (ML) models to detect and predict network issues affecting customer experience  Assist in designing and optimizing feature engineering to extract meaningful insights from raw telemetry data  Assist in the creation and presentation of data insights and recommendations to key stakeholders   Plan, manage, and monitor independent projects from concept through implementation   Apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed   Working Conditions  Office environment  What You’ll Bring to Spectrum  Required Qualifications  Education  Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience  Experience  2+ years data science experience  2+ years programming experience  Skills  Ability to perform in-depth and independent research and analysis with oversight   Demonstrated ability to apply core data science principles and machine learning techniques (regression, decision trees, clustering, time series, SVMs, neural networks) with minimal guidance   Ability to use a data science toolkit such as Python, R, SQL; and have demonstrated learning of additional languages or advanced functionality    Demonstrated ability to work in cloud-based infrastructures   Experience with big data tools such as Spark and Hive   Strong background in mathematical and statistical concepts and demonstrated ability to apply techniques with oversight   Command of development of data tools and models, scripting, analysis and ETL, and ability to synthesize complex code with guidance.     Knowledge of statistical techniques and machine learning algorithms   Demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to