Charlotte, North CarolinaPosted 06/17/2025Areas of interest: Development, Research/AnalysisRequisition Number: 2025-55552BDA309
Responsible for guiding the design, development, and implementation of advanced analytics and data science solutions to support Charter’s business objectives. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
BE PART OF THE CONNECTION
As a Lead Data Scientist, your focus is leading the development of data-driven solutions to Charter’s business problems. You’ll utilize analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. It’ll be a highly collaborative team environment, colleagues supporting each other as well as Spectrum!
MAJOR DUTIES AND RESPONSIBILITIES
Developing and executing data science strategies, including designing and implementing analytical models.
Leading and mentoring a team of data scientists and analysts in developing predictive models, machine learning algorithms, and statistical analyses.
Collaborating with cross-functional teams (such as BI, IT, and business units) to identify business challenges and translate them into data-driven solutions.
Building and deploying predictive models, machine learning algorithms, and statistical analyses.
Analyzing data to identify insights, patterns, and trends.
Ensuring the quality and integrity of data used in models and projects.
Communicating complex analytical findings and recommendations to stakeholders, including the senior leadership in a clear and actionable manner.
Be a thought leader and stay current with industry trends, best practices, and emerging technologies in data science and analytics.
WHAT YOU’LL BRING TO SPECTRUM
Required Qualifications
Experience: Data wrangling and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer: 10 years, SQL/Python/R: 7 years
Education: Bachelor’s degree in computer science, Statistics, Operations Research, or equivalent experience
Technical Skills: Advanced knowledge of statistical modeling, machine learning, and data mining techniques; Proficiency in programming languages such as Python, R, and SQL.
Experience with AWS Redshift ML, AWS Sagemaker preferred
Experience with data visualization tools and BI platforms (e.g., Tableau, MicroStrategy).
Strong understanding of data architecture, data marts, and scalable data models.
Skills: Ability to communicate results and recommendations to a wide audience
Schedule: Some travel required
Preferred Qualifications
Understanding of one or more scripting, analysis, or ETL languages with the ability to learn new languages/techniques
Familiarity with modern machine learning technology and tools in order to produce model scoring code
Desire to continually expand skill set, learn, and teach others
SPECTRUM CONNECTS YOU TO MORE
Dynamic Growth: The growth of our industry and evolving technology powers our employees’ careers as they move up or around the company
Supportive Teams: Who you are matters here. And, we aim to foster an inclusive workplace where every person is empowered to bring their best ideas
Learning Culture: With a focus on training and development, employees can have confidence that day one is truly just the beginning of a dynamic career
Here, employees don’t just have jobs, they build careers. That’s why we believe in offering a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life.
A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.
We're committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. Learn about our inclusive culture.
