Company Name:-
Spectrum

Job Location:-
Maryland Heights, MO

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionJOB SUMMARY
Responsible for driving the development of data-driven solutions to Charter’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
Actively and consistently support all efforts to simplify and enhance the customer experience

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

Ensure analytics products are flexible, modular, and contain reusable code base

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

Provide technical oversight and expertise for activities including experimental design, machine learning, ad-hoc analytics, and statistics

Increase speed to delivery by architecting and implementing automated solutions across the data and analytics lifecycle

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.

Research and develop machine learning models and algorithms for data analysis and discovery.

Assist in making strategic recommendations and implementations for data architectures, data collection processes, and analytics platform integration

Responsible for interpretation of results – for both causal inferences and predictive sensitivity and specificity

Synthesize appropriate recommendations for action and changes

T

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details