This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
Spectrum’s Product and Technology team creates, develops, and operates the nation’s fastest mobile service, most reliable internet service, most viewed live TV app, and the most advanced WiFi, serving nearly 100 million users and 500 million devices. We are transforming the next era of connectivity and entertainment experiences. The diversity of experience available within Spectrum’s Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect,engineer, developer, operator, or data scientist. We are creative, disciplined, hard-working, complex problem solvers that believe in collaborating to deliver the highest quality customer experience.
Are you eager to assist in crafting data-driven solutions to tackle Spectrum’s business challenges?

EDUCATION

• Bachelor’s degree in Computer Science, Statistics, Operations Research or equivalent combination of education and experience

EXPERIENCE

• 1+ years of data science experience
• 1+ years of programming experience

SKILLS

• Ability to perform basic research and analysis as directed by manager
• Basic knowledge of core data science principles including algorithms, data structures, and major families of machine learning techniques (regression, decision trees, clustering, time series, SVMs, neural networks)
• Minimal experience using a data science toolkit such as Python or R and the ability to learn additional languages as needed, such as Scala or C
• Basic level SQL skills
• Prior exposure to big data tools such as Spark and Hive
• Strong background in mathematical and statistical concepts and the ability to learn new techniques
• Exposure to basic concepts in development of data tools and models, scripting, analysis or ETL, and basics of command line interfaces

PREFERRED QUALIFICATIONS

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data analysis and visualization tools like Pandas, Matplotlib, and Tableau.
• Understanding of statistical methods and data modeling.
• Strong problem-solving skills and the ability to apply logical thinking to complex data problems.
• Capability to derive insights from data and communicate findings effectively.

Please refer the Job description for details