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T-Mobile Logo T-Mobile · IT - Software Development

Sr Data Scientists

United States, Frisco 141773.00 - 155000.00 USD / Year · Job Posted March 14, 2026
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Job Description

Sr Data Scientists is located in Frisco, TX and will support teams’ mission to partner with leaders across T-Mobile to understand the “art of the possible” and identify AI/ML opportunities to grow our business, reduce costs, manage risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers.

Job Responsibility

  • Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes
  • Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members
  • Design advanced analytics to solve business problems
  • preprocess and perform exploratory data analysis on structured and unstructured data
  • create features based on expertise in the domain
  • use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
  • Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams
  • Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts
  • Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes

Requirements

  • Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 5 years of relevant work experience
  • Master’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 3 years of relevant work experience
  • Experience in developing and deploying predictive models, advanced machine learning, deep learning, NLP, and generative AI solutions by applying a wide range of algorithms
  • Experience in developing solutions using Python, PySpark, SQL, and R, with libraries LangChain, LangGraph, Keras, Pandas, NumPy, SciPy, Matplotlib, and Scikit-Learn
  • Experience in working with data querying, wrangling, cleaning, and feature engineering across relational and non-relational databases: SQL, Snowflake, and Redshift in big data environments: Azure, AWS, and GCP, and leveraging Spark, Hadoop, Hive, and Kafka
  • Experience in building CI/CD pipelines, automating training and retraining workflows, deploying inference services, and monitoring ML algorithms in production environments in Databricks using tools: MLflow, and cloud-native services
  • Experience in articulating and reframing business problems, applying statistical and advanced analytics techniques in Python, R, and SQL, and leveraging SciPy, Scikit-Learn, and PySpark to generate actionable insights and recommendations
  • Experience in delivering impactful, data-driven presentations and effectively communicating machine learning and analytical concepts to technical teams, business stakeholders, and senior leadership, supported by visualizations created in Tableau, Power BI, Matplotlib, and Seaborn
  • At least 18 years of age
  • Legally authorized to work in the United States

What we offer

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Annual bonus or periodic sales incentive or bonus
  • Medical, dental and 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- and 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
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