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CenturyLink Sr Data Scientist - Customer Experience ( CX ) in BROOMFIELD, Colorado

CenturyLink (NYSE: CTL) at is a global communications and IT services company focused on connecting its customers to the power of the digital world. CenturyLink offers network and data systems management, big data analytics, managed security services, hosting, cloud, and IT consulting services. The company provides broadband, voice, video, advanced data and managed network services over a robust 265,000-route-mile U.S. fiber network and a 360,000-route-mile international transport network. Visit CenturyLink at for more information.

Job Summary

This role is pivotal to the success of the CenturyLink. It is necessary to bring more science into the decision-making process, build frameworks and analytical outcomes that will enable the company to maximize customer loyalty, reduce churn and improve EBITDA. This position will lead advanced decision analyses and optimization projects for the Customer Insights organization and collaborate with cross-functional teams to understand complex business problems and provide recommended solutions.

Job Description

  • Enhance how CenturyLink measures customer experiences, understand what drives loyalty and guide the business on what CX improvements are needed.

  • Develop and lead analytical projects designed to understand the impact customer experiences have on operational, employee, and financial outcome measures.

  • Collect, clean, analyze and manage data to uncover in-depth customer insights.

  • Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.

  • Lead the development and execution of data-driven insights for the Customer Insights organization; be self-driven to do research and develop cutting edge and effective solutions for the business.

  • Lead cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.

  • Examine stratification rules across a robust set of transactional, journey and relationship surveys, ensuring the right representation, sample volumes and rules to avoid survey toxicity and be able to document these requirements for implementation by data developers.


  • 6 - 8 years related experience.

  • Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related discipline.

  • Strong experience with tools for managing, analyzing, and visualizing large datasets and the ability to uncover insights.

  • Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++.

  • Expertise in analyzing and visualizing large, complex, and unique data sets.

  • Good working knowledge of PL/T-SQL is preferred

  • 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.

  • Culture of curiosity and perseverance in the face of messy data and complex business, information systems landscape.

  • Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.

  • Ability to prove / sell analysis results through compelling presentations (PowerPoint) and other reporting tools.


  • Experience with R, Python, Tableau, Lisp, Clojure, Scala, Java, Perl, Mathematica, C++.

  • Expertise w/ econometric and machine learning methods for predictive analytics.

  • Working knowledge of version control software – Git and Docker.

  • Understanding of CenturyLink DBs, knowledge of Missing Data / Sparse Data machine learning techniques.

  • Experience with the wireline telecommunications and technology industries and products.


Bachelors or Equivalent

Masters or Equivalent

Alternate Location: US-Colorado-Broomfield; US-Colorado-Denver

Requisition # : 210221

This job may require successful completion of an online assessment. A brief description of the assessments can be viewed on our website at

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.