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About the Role

At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. We are seeking a creative, and curious Senior Data Science Software Engineer to join our team, working at the intersection of machine learning, software engineering, and big data to build AI and ML systems that directly impact customers and business.

Responsibilities

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.

Skills

Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.
Advanced knowledge of cloud-based services (GCP, AWS).
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.

Location

Remote

Work Type

Full-time

Experience Level

Senior

Education Level

Bachelor's Degree
Advanced Degree

Salary/Compensations

$116,500 - $210,100

Benefits

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support
Childcare subsidy
Tuition assistance
College coaching
Short-term disability
Long-term disability
Voluntary AD&D coverage
Voluntary accident coverage
Voluntary life insurance
Voluntary disability insurance
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Access to commuter and transit programs

About the Company

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers.
We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture.
Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward.

Equal Opportunity

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500.