Senior Data Scientist- Consumer Analytics

# Senior Data Scientist
- Consumer AnalyticsT-Mobile Be an Early Applicant Contract senior Bellevue , Washington, USPosted Today##

Role Overview T-Mobile is hiring a Senior Data Scientist
- Consumer Analytics. This is a contract role in Bellevue, Washington. Part of T-Mobile's Lifecycle hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting. Market median for Senior-level Lifecycle roles is $140k-$190k (based on 88 comparable listings).

Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

PythonRSQLKafka Spark Linear Pipeline ORSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Job Overview This role leads the application of machine learning techniques and statistical methods to address complex business challenges effectively. It involves collaborating with diverse technical and non-technical stakeholders to deliver data-driven solutions. The role requires expertise across the entire machine learning lifecycle, including problem framing, data collection, model development, deployment, and performance evaluation. Success is measured not only by model performance, but by the ability to frame the right problem before work begins and translate rigorous analysis into confident decisions.

The work functions as a strategic consulting capability within Care, turning ambiguous business challenges into clear, actionable direction.

Job Responsibilities:

* Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
* Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making
* Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
* Collaborate with engineering teams to implement and enhance machine learning pipelines and production-ready models
* Communicate key information and insights to business leaders through verbal, written, and data visualization methods
* Also responsible for other duties/projects as assigned by business management as needed

Education and

Work Experience:

* Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
* Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
* 4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
* 4-7 years

Experience with data scripting languages (e.g., SQL, Python, R) (Required)
* 2-4 years

Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
* 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
* 4-7 years Experience in data visualization (Required)
* 4-7 years Experience working with relational database using SQL (Required)
* 2-4 years Experience in the telecom industry (Preferred)

Knowledge, Skills and Abilities:

* Mathematics Calculus, linear algebra, statistics, and probability (Required)
* Programming Expertise in Python and SQL (Required)
* Machine Learning:
Expertise applying…