T-Mobile is hiring a Data Scientist

T-Mobile is seeking a Senior Data Scientist to join our team. In this role based in Frisco, TX, you will partner with leaders across the company to identify AI/ML opportunities that grow the business, reduce costs, manage risk, forecast outcomes, and improve customer experience.

What You'll Do

• Support business partners to understand challenges, develop business cases, capture requirements, and co-create solutions that drive business change.
• 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; use predictive modeling and statistical analysis.
• Leverage the Agile methodology to ensure alignment of the data science roadmap, features, and stories to business priorities and value streams.
• Collaborate with a 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.

What We're Looking For

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or a related field, and 5 years of relevant work experience.
• Master’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or a related field, and 3 years of relevant work experience.
• Experience developing and deploying predictive models, advanced machine learning, deep learning, NLP, and generative AI solutions using algorithms including regression, decision trees, random forests, gradient boosting, clustering, naive Bayes, support vector machines, deep neural networks, LLMs, RAG, fine-tuning, and prompt engineering.
• Experience developing solutions using Python, PySpark, SQL, and R, with libraries like LangChain, LangGraph, Keras, Pandas, NumPy, SciPy, Matplotlib, and Scikit-Learn.
• Experience 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 building CI/CD pipelines, automating training and retraining workflows, deploying inference services, and monitoring ML algorithms in production environments in Databricks using tools like MLflow and cloud-native services.
• Experience 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 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.
• Must be at least 18 years of age.
• Must be legally authorized to work in the United States.

Technical Stack

• Languages & Core Libraries: Python, PySpark, SQL, R, LangChain, LangGraph, Keras, Pandas, NumPy, SciPy, Matplotlib, Scikit-Learn
• Data Platforms & Warehouses: Snowflake, Redshift
• Cloud Platforms: Azure, AWS, GCP
• Big Data Tools: Spark, Hadoop, Hive, Kafka
• ML Platform & Tools: Databricks, MLflow
• Visualization: Tableau, Power BI, Seaborn

Team & Environment

You will collaborate with a cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts.

Benefits & Compensation

• Compensation range: $141,773 to $155,000 per year + equity: Annual Stock Grant.
• Competitive base salary and compensation package
• Annual stock grant
• Employee stock purchase plan
• 401(k)
• Access to free, year-round money coaches
• 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
• 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
• Annual bonus or periodic sales incentive/bonus eligibility

Work Mode

This role follows a hybrid work model and is located in Frisco, TX.

T-Mobile 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.