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At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy. We are seeking a creative, and curious Senior Data Science Software Engineer to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale. We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.
Job Responsibility
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
Requirements
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
4-7 years experience building and deploying machine learning and deep learning solutions at scale
familiarity with MLOps and DevOps practices and tools
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift)
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS)
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices
At least 18 years of age
Legally authorized to work in the United States
Nice to have
Experience in AdTech and GIS or geospatial data processing