The experimentation program sits within Spectrum's Data Platforms organization and consists of a core team of data scientists, data engineers, and software developers working collaboratively in our mission to provide the tools, trainings, and expertise that enables Spectrum employees to test product changes and uncover actionable data insights that drive product and service excellence. We provide Spectrum's in-house experimentation application and support in-depth analyses through partnerships between the data science and product teams. The Senior Manager will lead the data science team in stakeholder collaborations and the development of data tools and models, as well as support our company-wide experimentation education

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.

BE PART OF THE CONNECTION

As a Senior Data Science Experimentation Manager, you are responsible for the full-scope of advanced analytic techniques with the objectives of creating causal inferences, predictions, and recommendations for improvements to business processes, and the metrics to monitor those improvements. Requires a strong command of techniques and algorithms as well as an 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. This leadership position is responsible for managing employees, formulating and managing projects, and working with key customers in order to establish roadmaps, present results, and resolve issu

WHAT OUR DATA SCIENCE MANAGERS ENJOY MOST Managing a high performing data science team by leading, developing, training and providing effective coaching to attract and foster talent Leading the execution of the experimentation life-cycle from early insights analyses through A/B testing, leveraging significant experience in leading this type of work in previous roles. Producing innovative solutions driven by exploratory data analysis Managing a top notch education program that both trains users on proper experimentation and develops A/B testing expertise through our ambassador program Promoting a culture where our product teams are enabled to execute and learn from experiments and empowered to make sound, data-driven decisions Actively supporting efforts that drive product and service excellence, enhancing both the employee and customer experience Cultivating relationships with senior level stakeholders to gain high-level understanding of current and future business objectives, identifying opportunities for data-driven solutions Collaborating with stakeholders on problem formulation, requirements analysis, planning, and execution Advising stakeholders and data science team members on the interpretation of results and identification of actionable next steps Crafting a compelling story and presenting findings, suggested actions and changes to a broad audience

WHAT YOU'LL BRING TO SPECTRUM

Required Qualifications Experience:

Statistical Analysis - 8+ years Business Analysis - 6+ years SQL/R/SAS Programming - 6+ years Management and Supervision - 3-5+ years Internal client relationship management - 3-5+ years Education: Bachelor's Degree in Computer Science, Mathematics, Statistics, Ope ations Research, or related quantitatively-focus field Technical Skills: Comprehensive skills and experience with R (required) and/or Python (desired) (including relevant packages) in support of advanced analytics Advanced-level skills with relational databases, including SQL and utilizing data stored in complex schemas Experience and solid theoretical foundation on the modeling process using a variety of algorithms Data profiling, distributions, confidence intervals, hypothesis testing Holdout for testing, cross-validation Data pre-processing, exploratory data analysis using a variety of techniques Regression and classification using linear models, GLMs, and tree-based methods Interpretation of model results, consideration of causality, treatment of multicollinearity Synthesis and presentation skills Basic understanding of data architecture, data warehouse and data marts Skills: Management experience in the field of analytics and/or data management. Effective logical and analytic skills Experience in the telecommunications industry, or two other consumer-based industries Abilities: Ability to read, write, speak and understand English Ability to continually expand skill set, and learn from and teach others Schedule: Office environment