Lumen

Lead Data Scientist- Remote

Job description

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

The 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, and computer science, including the subdomains of optimization, machine learning, regression, classification, cluster analysis, and data mining.

The Main Responsibilities


  • 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.
  • 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.
  • 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
  • Experience in using MLFlow for ML operations
  • Experience with Jenkins and Docker for deploying production models
  • Experience developing presentations to nontechnical stakeholders

What to Expect Next

Requisition #: 303058

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.

Salary Range

Salary Min :

85230

Salary Max :

189360

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information here. We're able to answer any additional questions you may have as you move through the selection process.

As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking here.

Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.

Salary Range

Salary Min :

85230

Salary Max :

189360

This information reflects the base salary pay range for this job based on current national market data. Ranges may vary based on the job's location. We offer competitive pay that varies based on individual experience, qualifications and other relevant factors. We encourage you to apply to positions that you are interested in and for which you believe you are qualified. To learn more, you are welcome to discuss with us as you move through the selection process.

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