> Markdown version of [/jobs/ext/1003870-senior-data-science-engineer](https://www.wearedevelopers.com/jobs/ext/1003870-senior-data-science-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Science Engineer

- **Company:** T-Mobile Us, Inc.
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Salary:** $116,500.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, BigQuery, Cloud Computing, Continuous Integration, Data Structures, Data Systems, DevOps, Distributed Computing Environment, Distributed Data Store, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Scala (Programming Language), SciPy, SQL Databases, Data Streaming, Snowflake, Pandas, Containerization, Pyspark, Scikit Learn, Information Technology, Optimization Algorithms, Non-relational Database, Machine Learning Operations, Amazon Redshift
- **Published:** June 5, 2026
- **Apply:** https://diversityjobs.com/career/17156216/Senior-Data-Science-Engineer-Pennsylvania-Philadelphia

## About the Role

* Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
 * Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
 * 4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)
 * 4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)
 * 4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)
 * 4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)

Knowledge, Skills and Abilities:

 * Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.
 * Advanced knowledge of cloud-based services (GCP, AWS)
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.

 * Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.
 * Experience operating production machine learning and data systems in cloud and containerized environments.
 * Experience in AdTech and GIS or geospatial data processing is a plus.

 * At least 18 years of age
 * Legally authorized to work in the United States

## Description

* Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.
 * Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.
 * Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.
 * Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.
 * Collaborate across engineering, product, and business teams while leading other engineers and data scientists.


## Related Videos

- [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)
- [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)
- [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)
- [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)