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Senior Data Scientist

Location
Greenwood Village, CO

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Senior Data Scientist
JOB SUMMARY
Charter’s Product division is a high-tech group charged with developing cutting edge video products. As part of this group, the Sr Data Scientist role is responsible for executing the full-scope of advanced analytic techniques with the objectives of improving business processes, enhancing product personalization, and improving customer retention through discovery of causal relationships, predictive analysis, and recommender systems. Additionally, the role will be responsible for developing experiments and metrics to test and monitor system improvements. 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.

MAJOR DUTIES AND RESPONSIBILITIES
Plan, lead, and 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

Survey varied data sources for analytic relevance, including stream source distributed file systems relational databases, flat files, external sources

Interpret, synthesize and communicate results of analyses to effect action and changes within the organization

Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results

Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds

Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem

Perform other duties as needed

REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Strong communication and presentation skills
Expert-level skills and experience with Python (preferred), R, Matlab, or other analytics languages
Experience with relational and NoSQL databases
Expert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearity
Broad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, NLP, Deep Learning, and Gra****
Business Analysis 8
SQL/R/SAS Programming 8
Database Design or Database Modeling 2


WORKING CONDITIONS
Office environment
Travel as required
EOE
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