Job Description We are looking for a data science leader to drive the development of data-driven solutions for Charter’s Spectrum Mobile Network. This role involves applying advanced analytical, statistical, and programming skills to clean, aggregate, and interpret large datasets, with a focus on WiFi and 5G initiatives within Network Technology Services. The candidate will lead the full analytics lifecycle—from requirements gathering and data exploration to model prototyping, validation, and implementation—while exercising sound judgment in prioritizing efforts and tailoring approaches to diverse business problems. Responsibilities include conducting exploratory analyses, identifying meaningful data correlations, developing dashboards, and clearly documenting all work for historical reference. The role also requires presenting insights to stakeholders with varying technical backgrounds and offering actionable recommendations. In addition to technical execution, this position includes mentoring junior team members, training others in analytical tools and techniques, and managing data science contractor resources. The candidate will collaborate across teams to maintain communication with data owners, create project plans to meet deadlines, and proactively report progress. A strong command of statistical methods and machine learning, combined with the ability to synthesize findings and communicate effectively, is essential. The pay rate for this role starts at $70/hr and ranges up depending on years of experience. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 10-20 years of Data manipulation and statistical modeling as a Scientist, Consultant, Architect, or Engineer 10-20 years of SQL/R/SAS Programming 10-20 years of 4G/5G/WiFi network KPI engineering Expert-level skills and experience with Alteryx, Tableau, SQL, and other data visualization tools Advanced-level skills with one or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques Familiarity with modern machine learning technology and solid theoretical foundation of the properties of the major families of machine learning models (examples: regression, decision trees, clustering, SVMs, neural networks). Demonstrated experience developing and maintaining 4G/5G and/or Managed WiFi network performance dashboards. Demonstrated experience maintaining and scaling large databases and data lakes Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services Experience in the telecommunications industry, or two other consumer-based industries Experience with big data: data ingestion, quality control, relationship modeling, regression modeling, anomaly detection, trending and capacity planning Operations and engineering functional background, in particular focused on network planning, system performance, capacity planning, release management, incident management, network deployment Background with Cable or mobile wireless systems and operations Experience with Hadoop, particularly HIVE and Spark Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux Knowledge of other relevant techniques such as text analysis and text mining Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop