1 day ago
Base Salary
$98k - $196k/yr
Responsibilities
- Own delivery of well-scoped ML systems or major components within established architectural standards.
- Translate moderately complex business problems into technical approaches and propose solutions within defined constraints.
- Design, train, tune, evaluate, and deploy machine learning and deep learning models.
- Implement scalable training and deployment pipelines for batch, streaming, distributed processing, and cloud environments.
- Write production-ready Python, SQL, and Scala code while applying engineering standards, automated testing, and CI/CD practices.
- Collaborate with engineering, product, and business stakeholders and participate in technical design reviews.
- Monitor and refine models and systems using measurable outcomes, stakeholder feedback, and data-driven iteration.
Requirements
- Bachelor’s degree in a quantitative discipline such as mathematics, statistics, economics, computer science, physics, or engineering, plus 2 years of related experience, or an equivalent combination of education and experience.
- 2–4 years of industry experience in predictive modeling, data science, analysis, or ML engineering involving deployed ML or deep learning models.
- 2–4 years of experience with AI/ML programming languages including SQL, Python, and Scala.
- 2–4 years of experience with distributed data architectures and technologies such as Spark, Snowflake, Hadoop, Hive, Kafka, AWS, GCP, or Azure.
- 2–4 years of experience translating business questions into statistical analyses and working with relational and non-relational databases using SQL.
- 2–4 years of experience in data visualization.
- Advanced Python and PySpark proficiency, including pandas, NumPy, SciPy, and scikit-learn.
- Experience with software engineering practices, containerization with Docker, CI/CD, testing, version control, and distributed Spark environments.
- Strong communication and cross-functional collaboration skills; applicants must be at least 18 and legally authorized to work in the United States.
Benefits
- National base pay range of $98,200–$196,300, with annual incentive eligibility; total target cash earnings opportunity is $112,930–$225,745.
- Medical, dental, and vision insurance; flexible spending account; 401(k); employee stock grants and stock purchase plan.
- Paid time off, up to 12 paid holidays, paid parental and family leave, family-building benefits, backup care, childcare subsidy, and family support.
- Tuition assistance, college coaching, short- and long-term disability coverage, voluntary insurance options, and long-term care insurance.
- Mobile service and home internet discounts, pet insurance, and commuter and transit programs.
- No travel is required; the role is not DOT-regulated or safety-sensitive.
Tech Stack
Apache HadoopApache HiveApache KafkaApache SparkAWSAzureDockerGoogle Cloud PlatformNumPyPandasPythonScalascikit-learnSciPySnowflakeSQL
Categories
Data EngineeringML Engineering
About T-Mobile
T-Mobile provides nationwide 5G and 4G LTE wireless services for consumers and businesses, along with fixed wireless home internet and IoT connectivity. It sells mobile plans, devices, and enterprise wireless solutions under the T-Mobile, Metro by T-Mobile, and Mint Mobile brands. Headquartered in Bellevue, WA, the company trades on NASDAQ as TMUS and is majority-owned by Deutsche Telekom.