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# Senior Data Scientist

- **Company:** Lumen Inc
- **Location:** Albany, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $84,629.0 - $112,838.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Information Engineering, Data Visualization, Decision Support Systems, Python (Programming Language), Machine Learning, Power BI, Standard Sql, SQL Databases, Large Language Models, Apache Spark, Generative AI, Pyspark, Tools for Reporting, Data Pipelines, Databricks
- **Published:** July 15, 2026
- **Apply:** https://dejobs.org/x/x/3BA3C8AB97094A4EBFD55A5FB8A8D012/job/

## About the Role

* 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

## Description

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., * 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.


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