Job TitleThis role will support experiment planning and set-up across Charter product teams including video, buyflow, and support portals and own experimentation strategy including validation development of experimentation plans, frameworks, and experimentation metrics. The individual will additionally be responsible for executing advanced analytic projects with the objectives of creating causal inferences, correlations, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. Requires a strong command of statistical and data science oriented techniques and algorithms as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present these findings to an audience with varying levels of background in analytics.Major Duties And ResponsibilitiesCollaborate with stakeholders to understand product / feature plans for development and translate those plans into experimentation objectives and testable hypothesesAssist product teams with experimental design and analyses, including development of analysis plans and ad hoc reportsDevelop experimentation strategy and project plans for stakeholders and lead execution of plans involving members across multiple teamsSynthesize data from experimentation and other data sources to provide stakeholders with answers to research questions and help determine next steps for a product / feature using a data driven approachCreate and present materials communicating quantitative findings and relevant business impacts to internal and external teams as well as an executive audienceRefine experimentation processes including leverage of existing data science tools and development of new tools where applicableLeverage multiple data sources to produce intelligent data products that solve the needs of business and engineering for business intelligence, operational analytics, descriptive models, predictive models, diagnostic models, and prescriptive models.Coordinate technical activities across projects and the organizationInteract with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfactionDevelop and deliver materials on experimentation techniques and tools to a broad set of business-intelligence, data, and analytics professionals with varied backgroundsDeliver results using metrics-driven analysis, and communicating the costs and tradeoffs of ideas to stakeholders and top managementRequired Qualifications Skills/Abilities and KnowledgeAbility to read, write, speak and understand EnglishAble to communicate complex technical, statistical and quantitative concepts to individuals with a variety of backgrounds, explain the importance and relevance of data, and suggest solutionsWorks with minimal guidance to set project plans and timelines and prioritize among multiple competing interestsWorking knowledge of current industry best practices for online experimentationCommand of advanced statistical concepts including experimental design, hypothesis testing, common and more advance analytic methodsFluency with regression modeling and the ability to develop and evaluate a model using simple and complex regression, working knowledge of correlated data analysis and ability to identify when more sophisticated ML modeling may be warranted over common approachesKnowledge of tools to obtain, transform, and store data on Big Data and Streaming systemsAbility to design and implement ETL projects from scratchKnowledge of tools to develop, test, and deploy production code, modify CICD pipelines and deployment scriptsBackground with Cable systems and operationsExperience with Hadoop, HIVE, SPARK, and/or SnowflakeKnowledge of other relevant tools such as SAS, SPSS, Alteryx, LinuxKnowledge of other relevant techniques such as text analysis and text miningFamiliarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or HadoopBroad experience and solid theoretical foundation on the modeling process using a variety of algorithmsData profiling, distributions, confidence intervals, hypothesis testingData pre-processing, exploratory data analysis using a variety of techniquesKnowledge of classification using techniques such as linear models, GLMs, and tree-based methodsInterpretation of model results, consideration of causality, treatment of multicollinearityStrong synthesis and presentation skillsAbility to communicate results and recommendations to a wide variety of audiences including executive leadershipUnderstanding of data architecture, data warehouse and data martsDemonstrated ability and desire to continually expand skill set, and learn from and teach othersExperience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.Experience in receiving, converting, and cleansing big dataProgram, product, or project management experience delivering analytics resultsStrong background in Linux/Unix/CentOS and Windows installation and administrationAbility to identify and resolve end-to-end performance, network, server, cloud, and platform issuesPattern recognition and predictive modeling skillsKeen attention to detail with the ability to effectively prioritize and execute multiple tasksEducationBachelor’s Degree in a statistics, data science, applied math or related field.Related Work Experience3 plus years user and system admin ownership with Linux/Unix/CentOS and Windows5 plus years Statistical Analysis5 plus years Business Analysis5 plus years SQL/R/SAS Programming2 plus years Database Design or Database ModelingPreferred Qualifications Skills/Abilities and KnowledgeOperations-research background, in particular focused on large labor operations such as field ops, technical support, and salesBackground with cable and/ or telecommunicationsEducationMaster’s degree in a statistics, data science, applied math or related field.