Sr Data Scientist

As a Senior Data Scientist, you are responsible for leading the application of machine learning techniques and statistical methods to solve business problems. You will collaborate with a multi-disciplinary team of technical and non‑technical business stakeholders on a wide range of challenges. You must demonstrate expertise across the entire machine learning lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement.

Paramount to this job is the understanding that a Senior Data Scientist represents technical expertise and leadership within the Data Science team in creating real business value from data.

• Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
• Deliver on‑time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
• Provide senior‑level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
• Work with engineering teams to implement and improve machine learning pipelines and production‑ready models.
• Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
• Also responsible for other duties/projects as assigned by business management as needed.

• Bachelor's Degree in a quantitative discipline (math, statistics, economics, computer science, physics, engineering, etc.) – Required
• Master's Degree in a quantitative discipline (math, statistics, economics, computer science, physics, engineering) – Preferred

• 4–7 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 hands‑on experience developing deep learning models – Required
• 4–7 years of experience with data scripting languages (e.g., SQL, Python, R) – Required
• 4–7 years of experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data – Required
• 4–7 years of experience in data visualization – Required
• 4–7 years of experience working with relational databases using SQL – Required
• 2–4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. – Required
• 2–4 years of experience in the telecom industry – Preferred

• Mathematics:
  Calculus, linear algebra, statistics, and probability
• Programming:
  Expertise in Python and SQL
• Machine Learning:
  Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning
• Communication:
  Strong communication skills, ability to work with cross‑functional teams
• At least 18 years of age
• Legally authorized to work in the United States

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$106,000 - $191,100

15%

T-Mobile USA, Inc. 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.

Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing Applic or calling 1‑844‑873‑9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests.