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About CenturyLink
CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.

The Role

The Sr Data Scientist is a highly skilled individual contributor, under minimal supervision, who designs and develops programs, methods, processes, and systems to consolidate and analyze diverse, structured and unstructured “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, and team members.

The Main Responsibilities
  • The Sr Data Scientist proactively identifies meaningful insights by executing data discovery, exploratory data analysis, and iteratively developing predictive and prescriptive models to identify optimal solutions.
  • This position will also assist with operationalizing the insights and solutions and changing business processes to maximize the value of those solutions.
  • 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 this position will solve will be at the cutting edge of technology and will lie at the intersection of science, engineering and business acumen.
  • Solves moderate problems as 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, 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 Elastic Search, Map Reduce or Spark frameworks.
  • Familiar with Hadoop, Pig, Hive, Cosmos, Kafka, Scoop or similar technologies.
  • Able to work within an agile, iterative DevOps development process
  • 3 + years’ experience delivering Machine Learning and Advanced Analytics solutions
  • Experience with statistical programming environments like Python, R, SPSS or SAS
  • Fluent in one or more object-oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
  • Experience compiling data into an easily understandable and consumable business format to meet the needs of the intended audience and influencing them to take action.
  • Ability to articulate ideas to both technical and non-technical audiences.
  • Intermediate analytical, evaluative, and problem-solving abilities. Can solve problems of intermediate complexity; good at gleaning meaning from whatever data is available;
  • Communicate effectively in person, written, and verbal
  • Preferred: Experience with Cloudera or Pivotal Hadoop distributions, Experience with Microsoft Assure in a Hybrid Data Lake environment; Experience working with streaming data and deriving insights from network and network element telemetry data


 Bachelor’s Degree in Math, Computer Science, Data Mining, Machine Learning, Statistics or other quantitative discipline.  Master's degree preferred.

What to Expect Next

Alternate Location: US-Colorado-Broomfield

Requisition #: 230031

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.

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.

Salary Range
$70,000.00 - 118,000.00
per Year
Salary range estimated by