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Senior Data Scientist

Role overview

Qualifications

  • 3–5 years of experience in data science, data engineering, analytics, or a related role
  • Strong Python and SQL skills
  • Experience with Databricks, PySpark, or Spark-based processing
  • Experience building data pipelines and working with large, complex datasets

Responsibilities

  • Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights.
  • Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.
  • Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.
  • Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.

About the company

CenturyLink logo

CenturyLink

CenturyLink (NYSE: CTL) is a technology leader delivering hybrid networking, cloud connectivity, and security solutions to customers around the world. Through its extensive global fiber network, CenturyLink provides secure and reliable services to meet the growing digital demands of businesses and consumers. CenturyLink strives to be the trusted connection to the networked world and is focused on delivering technology that enhances the customer experience. Learn more at http://news.centurylink.com/.

Company details

Company typeXLarge
Company size10001

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Job description

 

Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today.

The Role

As Lumen continues this journey, Corporate Finance is playing a critical role in shaping the future through data and AI. We are seeking a Senior Data Scientist who is excited by the opportunity to turn information into impact. In this role, you’ll leverage Databricks, Generative AI, and advanced analytics to create scalable solutions that empower smarter decision-making. You’ll help expand self-service insights, automate finance processes, and uncover opportunities hidden within complex datasets. More than building models, you’ll help write the next chapter of Lumen’s transformation—where data becomes a strategic advantage and innovation drives meaningful business outcomes. 

Location

This is a work from home position from within the US. 

The Main Responsibilities

  • Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights.
  • Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.
  • Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.
  • Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.
  • Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights.
  • Contribute to high-impact initiatives that advance how data and AI are used across Finance.

What We Look For in a Candidate

•    3–5 years of experience in data science, data engineering, analytics, or a related role
•    Strong Python and SQL skills
•    Experience with Databricks, PySpark, or Spark-based processing
•    Experience building data pipelines and working with large, complex datasets
•    Strong analytical, problem-solving, and communication skills
Preferred Qualifications
•    Experience with forecasting, predictive modeling, statistical analysis, or machine learning techniques
•    Experience with Generative AI or LLM-based applications
•    Experience with Power BI or similar visualization tools
•    Exposure to financial data, FP&A, or enterprise reporting

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

$84,629 - $112,838 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  WY 
$88,860 - $118,480 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$93,092 - $124,122 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  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:

 

#LI-Remote

Requisition #: 342510

 

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

 

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.

 

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen’s Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

 

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.

 

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