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Lumen Data Scientist - Greater Denver, CO in BROOMFIELD, Colorado

About Lumen

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 Role

Develops and programs methods, automated processes, and systems to cleanse, integrate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions using machine learning and advanced analytics. Interprets and communicates insights and findings from analyses and experiments to other analysts, data scientists, team members and business partners.

The Main Responsibilities

Ability to execute data discovery, exploratory data analysis, and iteratively develop predictive and prescriptive models to identify optimal solutions. Assist with operationalizing the solutions and changing business processes to maximize the value of those solutions. Cooperate with business leaders to create impactful and meaningful results.

  • Analyze data and build predictive and prescriptive models in the areas of capacity planning, anomaly detection, predictive asset failure/maintenance, workload optimization, customer segmentation and business performance.

  • Mine information for previously unknown patterns and insights hidden in these assets and leverage them for competitive advantage.

  • The problems solved will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen.

  • Be part of a highly skilled agile team and within a strongly focused DevOps culture.

What We Look For in a Candidate

  • Able to apply techniques such as classification, clustering, regression, deep learning, association, anomaly detection, time series forecasting, Hidden Markov models and Bayesian inference to solve pragmatic business problems

  • Able to design working models and implement them on Big Data systems using Map Reduce or Spark frameworks.

  • Familiar with Hadoop, Pig, Hive, Scope, Cosmos, or similar technologies.

  • Able to work within an agile, iterative DevOps development process

  • Experience: 3+ years of experience delivering Machine Learning and Advanced Analytics solutions or related fields.

  • Fluent in one or more of the following languages: Python, C#, C++, Scala, Java, Ruby (Python preferred)

  • Ability to translate large, vague business problems into precise, solvable data science questions

  • Ability to communicate and deliver data science results to business leaders

What to Expect Next

Requisition #: 236746

When applying for a position, you may be subject to a background screen (criminal records check, motor vehicle report, and/or drug screen), depending on the requirements for the position. Job-related concerns noted in the background screen may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

EEO Statement

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

NOTE: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Disclaimer

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.

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