Sr Data Scientist

Do you have a knack for problem solving? Looking for a Senior Data Scientist position that values inventive, forward thinking? If so, you'll fit right in with Spectrum's Business team!

Our goal is not only to exceed the expectations of our users, but our employees too!

Spectrum's Business team has a direct hand in improving our enterprise's infrastructure and ensuring use of the newest tools and technologies in our ever-changing profession. It's a high-energy job that allows you to focus on all aspects of Spectrum: business and people! You'd be joining a bright team with quality expectations that values partnership, long-term career growth, and great work-life balance.

BE PART OF THE CONNECTION

As a Senior Data Scientist, your focus is developing 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!

• Actively and consistently support all efforts to simplify and enhance the customer experience.
• Execute 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.
• Utilize experience and feedback to recommend options during the development/research/analysis phase.
• Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources.
• Establish links across existing data sources and find new, interesting data correlations.
• Plan effectively to ensure analytics products with flexible, modular, and reusable code base.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data.
• Assist in creating project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.

• Ability to read, write, speak and understand English
• Outstanding interpersonal, communication and stakeholder relationship skills - able to work effectively with customers from developers and operations personnel through senior management
• Must be self-motivated, results-driven, and able to work with minimum supervision
• Intellectually curious
• Experience using a data science toolkit such as Python or R Extensive experience with analytical and statistical software
• Passionate about data maintenance, data quality control and all other important data analysis techniques
• Demonstrated analytical and problem solving skills with attention to detail and data accuracy
• Familiarity with the properties of the major families of machine learning techniques (regression, decision trees, clustering, SVMs, neural networks, time series).
• Demonstrated interpersonal communication, verbal and written, relationship management, and customer service skills with a focus on working effectively in a team environment
• Ability to work cross-functionally to solve complex problems and improve quality and service
• Ability to perform involved and independent research and analysis
• Ability to maintain confidentiality and appropriately handle sensitive information
• Willingness to learn: Develop expertise in areas outside of core comfort zone

• Ability to work cross-functionally to solve complex problems
• Experience using a data science toolkit (Python or R)

• 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
• Total Rewards: See all the ways we invest in you-at work and in life
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