Principal Data Scientist
About The Position
The Principal Data Scientist leads technical innovation within T-Mobile’s data science function to address complex business challenges with advanced analytics and machine learning. The role collaborates with technical and non-technical stakeholders to develop advanced analytics and machine-learning solutions, applies established techniques, and develops AI capabilities that support key business operations. Success is measured by effective implementation of advanced analytics, adoption of emerging technologies, and delivery of actionable insights. The work enables data-driven decision-making and advances the technical capabilities of data science teams. The position requires a bachelor’s degree and seven years of related experience, or an advanced degree and five years of related experience, in a quantitative discipline. It also calls for substantial experience in predictive modeling, data science, analysis, model development and deployment, deep learning, statistical methods, big data technologies, data scripting, visualization, and SQL. Telecom industry experience is preferred. The national base pay range is $127,400–$229,800. The total target cash earnings opportunity is $152,880–$275,760, combining base pay and annual incentive opportunity. Actual pay and incentive payouts vary based on factors including location, qualifications, experience, individual performance, and company results. T-Mobile offers eligible employees a broad benefits package, including health coverage, retirement and stock programs, paid time off, family support, education assistance, insurance options, and select discounts and commuter programs. The company also describes opportunities for employees to grow their careers.
Requirements
- Bachelor’s degree plus 7 years of related work experience, or an advanced degree plus 5 years of related experience.
- Degree in a quantitative discipline, such as mathematics, statistics, economics, computer science, physics, or engineering.
- 7–10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role, building and deploying ML models or developing deep-learning models hands-on.
- 4–7 years of experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
- 7–10 years of experience articulating and translating business questions and using statistical techniques and available data to answer them.
- 4–7 years of experience with statistical methods and advanced modeling techniques, such as SVM, Random Forest, graph models, Bayesian inference, NLP, computer vision, and neural networks.
- 4–7 years of experience with big data architecture and pipelines, including Hadoop, Hive, Spark, or Kafka.
- 7–10 years of experience with data scripting languages such as SQL, Python, or R.
- 4–7 years of experience in data visualization.
- 7–10 years of extended experience working with relational databases using SQL.
- Knowledge and skills in advanced analytics, critical thinking, data science, data visualization, deep learning, generative AI, LLM fine-tuning, machine learning, and statistical analysis.
- At least 18 years of age.
- Legally authorized to work in the United States.
Nice To Haves
- Experience in the telecom industry.
Responsibilities
- Extract, prepare, and model large, complex data sets to develop advanced analytics and machine-learning solutions.
- Identify and evaluate emerging technologies to enhance data integration and quantitative analytics capabilities.
- Lead implementation and standardization of advanced analytics and modeling toolkits for data science teams.
- Collaborate with data engineering to shape data management strategies, architecture, governance, and infrastructure.
- Provide senior-level guidance on data science methodologies and approaches to technical teams.
- Communicate insights and technical information to business leaders verbally, in writing, and visually.
- Perform other duties or projects as assigned by business management.
Benefits
- Competitive base salary and compensation package.
- Annual stock grant and employee stock purchase plan.
- 401(k) and access to year-round money coaches.
- Annual bonus or periodic sales incentive or bonus for eligible employees.
- Medical, dental, and vision insurance.
- Flexible spending account.
- Paid time off and up to 12 paid holidays.
- Paid parental and family leave.
- Family-building benefits, backup care, enhanced family support, and childcare subsidy.
- Tuition assistance and college coaching.
- Short- and long-term disability coverage.
- Voluntary AD&D, accident, life, disability, and long-term care insurance.
- Mobile service and home internet discounts for eligible employees.
- Pet insurance for eligible employees.
- Commuter and transit programs for eligible employees.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
