Full TimeCharlotte, North CarolinaPosted 08/17/2021Areas of interest: Cloud Technology, Database Administration/Architecture, Development, Research/AnalysisRequisition Number: 289384BR-5BDA630
Spectrum Reach (www.spectrumreach.com) grows businesses of all sizes with custom, multiscreen advertising solutions, backed by the power of TV, data, innovation, community experts, and unforgettable creative..
Responsible for leading the development of data-driven solutions to Spectrum Reach’s business problems. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. 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 and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.
Plan effectively to ensure analytics products are flexible, modular, and contain reusable code base.
Identify future technical needs of assigned projects to continue to grow capabilities of organization.
Coordinate technical activities across projects and the organization
Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction. Utilize experience to anticipate hurdles & recommend solutions in line with business needs.
Create and drive project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed.
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.
Responsible for interpretation of results – for both causal inferences and predictive sensitivity and specificity
Synthesize appropriate recommendations for action and changes
Teach techniques and explain 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. Lead teams to select, implement, and integrate new technologies into the team’s work process.
Deliver results using metrics-driven analysis, and communicating the costs and tradeoffs of ideas to stakeholders and top management
Lead and integrate the work of others to produce high quality work products.
Mentor and train junior team members and set strategic vision for assigned projects.
Advanced-level skills in one or more scripting, analysis, or ETL languages, ability to readily read and adapt others’ code, and ability to rapidly learn new languages or techniques
Expert-level skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics
Broad experience and solid theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks).
Experience with modern machine learning technology and tools in order to produce model scoring code.
Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts
Strong synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership
Understanding of data architecture, data warehouse and data marts
Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.
Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
Program, product, or project management experience delivering analytics results
Strong background in Linux/Unix/CentOS
Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues
Pattern recognition and predictive modeling skills
Keen attention to detail with the ability to effectively prioritize and execute multiple tasks.
Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience.
RELATED WORK EXPERIENCE
Data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
Leading the design, development and deployment of machine learning models
Experience with SPARK, Snowflake
Knowledge of other relevant tools such as DataRobot, Tableau, Alteryx, AWS and Linux
Knowledge of other relevant techniques such as text analysis and text mining
Background with Ad Tech, cable or telecommunications
Highly collaborative and innovative work space
Travel as required
BDA630 289384-5 289384BR
Our Commitment During COVID-19 Your health and safety is important to us, as such we’re using virtual recruiting tools to safely meet with qualified candidates. We are working in the office, following CDC guidelines. Get to Know Us Charter Communications is known in the United States by our Spectrum brands, including: Spectrum Networks, Spectrum Enterprise and Spectrum Reach. When you join us, you’re joining a strong community of more than 95,000 individuals working together to serve more than 31 million customers in 41 states. Watch this video to learn more. Who You Are Matters Here We’re committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. Learn about our inclusive culture.