Lumen Lead Data Scientist - Denver, CO in BROOMFIELD, Colorado
Lumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences. Learn more about Lumen’s network, edge cloud, security and communication and collaboration solutions and our purpose to further human progress through technology at news.lumen.com, LinkedIn: /lumentechnologies, Twitter: @lumentechco, Facebook: /lumentechnologies, Instagram: @lumentechnologies and YouTube: /lumentechnologies.
The Lead Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.
The Main Responsibilities
Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.
Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.
Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives.
Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.
Provide expertise in analyzing and visualizing large, complex, and unique data sets.
Create new insights that will drive business growth and profitability in the short and long term.
Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.
Management of analytical projects and assistance in program planning as well as the acquisition, retention and development of data science talent
What We Look For in a Candidate
8+ years related experience.* Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related discipline* Experience with relational and non-relational databases.* Strong experience with tools for managing, analyzing, and visualizing large datasets. * Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++. * Past success in extracurricular math/science activities or competitions is highly regarded. * Creativity and persistence in locating, extracting and analyzing all relevant data. * Problem solving versatility: making the best decisions possible given the data quality and time available. * Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.Preferred:* Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc)* Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.* Good working knowledge of PL/T-SQL* Expertise w/ econometric and machine learning methods for predictive analytics* Prior expertise w/ price elasticity of demand modeling and mathematical optimization methods* Culture of curiosity and perseverance in the face of messy data and complex business, information systems landscape* Significant experience with the SDLC, in particular as applied to automation of data science pipelines and development of analytic products* Prior experience coaching junior technical team members* Strong background with planning and management of data science projects as well as leading engagement of stakeholders and communication with non-technical SMEs and partners.* Experience with the wireline telecommunications industry, notably common product technologies and marketing thereof
What to Expect Next
Requisition #: 232674
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The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.