This posting has been extended beyond the initial anticipated closing date.
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
educationSpectrum'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 CONNECTIONAs 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
issuWHAT 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 audienceWHAT YOU'LL BRING TO SPECTRUMRequired 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
Edu ation:
Bachelor's Degree in Computer Science, Mathematics, Statistics,
Operations 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:
