CenturyLink PRINCIPAL DATA SCIENTIST in Denver, Colorado

CenturyLink (NYSE: CTL) at http://www.centurylink.com 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 http://www.centurylink.com/ for more information.

Job Summary

The CenturyLink Threat Research team is looking for an experienced data scientist with demonstrated experience using machine learning models to develop and operationalize a variety of methods to find malicious attackers, botnets, and other malicious threats on the Internet. We ingest, store, and analyze huge data sets using Big Data technologies.

We are searching for a Principal Data Scientist that has the experience and skills necessary to hit the ground running, and a desire to learn even more. If you have a passion for making the Internet a safer place, and a love of working with cutting edge technologies, this might be the job you have been looking for. Ideally, candidates will be based in the Denver Metro area.

Job Description

The Principal Data Scientist will be responsible for creating machine learning based models to identify targeted malicious activity on the Internet using huge data sets. This will include identifying what data could be useful for creating the model, creating the proper features to train the model, tuning the algorithms to find the activity being targeted, validation of the model developed, and operationalizing those models to run in production on a regular basis.

Qualified candidates have:

  • A strong applied mathematics and statistics knowledge

  • Experience making actionable decisions out of seemingly inconclusive data sets

  • Strong knowledge of machine learning techniques and methodologies such as neural networks, random forests, anomaly detection, and unsupervised classification techniques

  • 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 Python, Java, Scala, or R

  • Creativity and persistence in locating, extracting and analyzing any and 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

  • User level experience in a Unix-based environment

Highly qualified candidates may have:

  • Strong knowledge in using security related data sets such as netflow, passive DNS, open source threat intelligence, and system log data

  • Experience with Spark and other distributed computing techniques

  • Experience working with petabyte sized data sets for training and scoring models

  • Knowledge of networking and telecommunications

  • General knowledge of information security topics such as malware distribution and behaviors, botnet activities, ransomware, and phishing.

Qualifications

Education

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

Requisition # : 184424

This job may require successful completion of an online assessment. A brief description of the assessments can be viewed on our website at http://find.centurylink.jobs/testguides/

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.

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.