Data Scientist V
Skills
About the role
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Are you passionate about uncovering insights from complex data to drive business decisions? As a Data Scientist V at Spectrum, you will leverage your analytical expertise to develop impactful solutions that address organizational challenges and guide strategic direction. Your work will directly influence the way Spectrum interprets data and shapes its future.
How You’ll Make an Impact
Collaborate on designing and implementing statistical data quality procedures for both existing and new data sources
Research and apply advanced data science principles and techniques to inform business strategies
Assist in creating and presenting data insights and actionable recommendations to stakeholders
Plan, manage and monitor projects independently from concept through implementation
Visualize and report data findings in creative formats to provide clear insights and explain data patterns
Lead exploratory analyses for new data sources or innovative uses of current data
Apply rigorous data maintenance, quality control and validation of code, tools and models
Mentor and guide junior data scientists to foster professional growth
Working Conditions
Office environment
What You’ll Bring to Spectrum
Required Qualifications
Education
Bachelor’s degree in computer science, statistics, operations research or equivalent combination of education and experience
Experience
3+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
3+ years of programming experience
Skills
Ability to perform independent research and analysis
Extensive knowledge of core data science and machine learning principles
Proficiency in at least one data science toolkit such as Python or R with ability to learn new languages
Comprehensive SQL skills
Working knowledge of cloud-based infrastructures
Experience working with large data sets and big data tools such as Spark and Hive
Understanding of advanced mathematical and statistical concepts and ability to learn new techniques independently
Command of developing data tools and models, scripting, analysis and ETL
Basic understanding of data architecture, data warehouse and data marts
Strong command of statistical techniques and machine learning algorithms
Ability to synthesize complex code and determine where to invest time
Ability to present findings to audiences with varied technical expertise
#LI-KB2
BDA323 2026-75007 2026
Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being 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.
This job posting will remain open until 2026-07-26 04:08 PM (UTC) and will be extended if necessary.
The base pay for this position generally is between $88,200.00 and $156,600.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.
Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you’ll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.
Compensation
This Data Scientist role pays $88k-$157k/yr. Within typical range for data scientist roles in United States.
Questions about this role
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