Data Scientist - Spectum News 1

Responsible for developing data-driven solutions to Charters business problems. 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.

Actively and consistently supports all efforts to simplify and enhance the customer experience.

Participate in the execution of the complete analytics life-cycle for problem solving, including : requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.

Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve their business.

Partner on the design and implementation of statistical data quality procedures for existing and new data sources.

Communicate complex data science solutions, concepts, and analyses in a clear and effective manner to team members and business leaders.

Establish links across existing data sources and find new, interesting data correlations.

Present data insights and recommendations to key stakeholders.

Achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.

Ensure testing and validation are components of all analytics solutions.

Required Skills / Abilities and Knowledge

Ability to read, write, speak and understand English

Effective communication, verbal and written, relationship management, and customer service skills with a focus on working effectively in a team environment

Ability to work with minimum supervision

Experience with analytical and statistical software

Experience using a data science toolkit such as Python or R

Comprehensive level SQL skills

Demonstrated effective analytical and problem solving skills with attention to detail and data accuracy

Ability to perform in-depth and independent research and analysis

Ability to maintain confidentiality and appropriately handle sensitive information

In-depth knowledge of core computer science principles including algorithms, data structures, and design methodologies

Prior exposure to cloud-based infrastructures

Experience with big data tools such as Spark and Hive

Required Education

Bachelor's degree in computer science, statistics, operations research and / or equivalent combination of education and experience

Required Related Work Experience and Number of Years

Data Analytics - 3

Programming experience - 2

Working Conditions

Office environment

Travel as required (10%)

BDA303 2025-51738 2025

Here, employees dont just have jobs, they build careers. Thats 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 applicants criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

The base pay for this position generally is between

$86,000.00 and $152,400.00 . 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.

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Charter Communications is known in the United States by our Spectrum brands, including : Spectrum Internet, TV, Mobile and Voice, Spectrum Networks, Spectrum Business and Spectrum Reach. When you join us, youre joining a strong community of 95,000 employees working together to serve more than 31 million customers in 41 states and keep them connected to what matters most. Watch this video to learn more.

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