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Lumen

Lumen

via Phenompeople

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Lead Data Scientist

Anywhere
Full-time
Posted 11/27/2025
Direct Apply
Key Skills:
Mathematics
Statistics
Machine Learning
Classification
Cluster Analysis
Data Mining
R
Python
Java
C++
Data Visualization
Relational and Non-relational Databases
GIT
Agile Project Management
PL/T-SQL
Econometrics
Predictive Analytics
Price Elasticity Modeling
Mathematical Optimization
SDLC
Data Science Project Management

Compensation

Salary Range

$104K - 152K a year

Responsibilities

Develop, analyze, and visualize complex data sets using advanced statistical and machine learning techniques to drive business growth and profitability.

Requirements

8+ years experience in data science or related fields, advanced degree in quantitative discipline, strong programming skills in multiple languages, expertise in data management, analytics, visualization, and project leadership.

Full Description

About Lumen Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress. We’re invested in providing the flexibility you need to thrive and deliver lasting impact. Apply now to continue digitally connecting the world and shaping the future. 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, from the subdomains of machine learning, classification, cluster analysis, and data mining. Location This is a work from home position within the U.S. 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. Compensation 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. Location Based Pay Ranges: $103,711 - $138,281 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY. $108,896 - $145,195 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI. $114,082 - $152,109 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA. Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: Benefits Bonus Structure #LI-Remote #LI-MB1 Requisition #: 340742 Background Screening If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Employment Opportunities 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, gender expression, 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 job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions. In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name. Application Deadline 12/06/2025

This job posting was last updated on 12/4/2025

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