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Principal Data Scientist

Principal Data Scientist

Lumen IncJefferson City, MO, United States
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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 looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

The Role

Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and / or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.

The Main Responsibilities

Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques

Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps

Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement

Develop data pipelines for ingestion, transformation, and storage to support AI workloads

Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock

Implement AIOps best practices, including CI / CD for model training, validation, deployment, and monitoring

Develop generative AI models for personalized customer experiences and automation of complex decision-making processes

Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources

Optimize AI models for performance, scalability, and reliability in enterprise environments

Conduct architecture design reviews and performance tuning for AI / ML applications

Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies

Ensure compliance with ethical AI principles, model governance, and data privacy regulations

What We Look For in a Candidate

Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science

7+ years of enterprise-scale experience in designing, implementing, and deploying AI / ML models

7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock

7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications

Strong problem-solving skills and a deep understanding of statistical and mathematical principles

Strong experience in natural language processing (NLP) and generative AI applications

Expertise in AIOps, model lifecycle management, and AI model deployment at scale

Proficient in Python and related libraries and SQ

Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby

Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred

Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs

Experience in the Telecom industry, particularly in Network or Orchestration

Familiarity with Azure OpenAI, LLM fine-tuning is preferred

Familiarity with agile software delivery methodologies such as Scaled Agile

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

$149,084 - $198,779 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

$156,539 - $208,718 in these states : CO HI MI MN NC NH NV OR RI

$163,993 - $218,657 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 :

Benefits ()

Bonus Structure

#LI-Remot

#LP1

Requisition # : 339933

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

10 / 04 / 2025

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