Senior Data Science Engineer

T-Mobile; Bellevue (WA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Paid Time Off

Tuition Assistance

Employee Stock Grants

Employee Stock Purchase Plan

Paid Holidays

Family Leave Benefits

Back-up Care

Job summary

T-Mobile is seeking an experienced machine learning and data platform engineer to drive end-to-end development of ML and data products from problem framing to deployment.

You will build scalable data pipelines, apply statistical methods to ensure quality, and measure business impact across customer and network analytics initiatives. Collaboration across teams is essential for success.

Qualifications

• Bachelor's or Advanced degree in a quantitative discipline
• 3-7 years of experience in ML, deep learning, and big data architecture
• Proficiency in Python, cloud platforms (AWS/GCP), and distributed data systems

Responsibilities

• Lead the end-to-end development of machine learning and data products from problem framing to deployment
• Build scalable data pipelines and apply statistical methods to ensure solution quality and business impact

Skills

Machine Learning

Deep Learning

Python

PySpark

SQL

AWS

GCP

BigQuery

Snowflake

Redshift

MLOps

DevOps

Distributed Processing

Statistical Modeling

CI/CD

Data Structures

Education

Bachelor's or Advanced degree in a quantitative discipline

Tools

BigQuery

Snowflake

Redshift

CI/CD

Job description

Lead the end-to-end development of machine learning and data products from problem framing to deployment. Build scalable data pipelines and apply statistical methods to ensure solution quality and business impact.

Requirements: Requires a Bachelor's or Advanced degree in a quantitative discipline with 3-7 years of experience in ML, deep learning, and big data architecture. Proficiency in Python, cloud platforms (AWS/GCP), and distributed data systems is essential.

Key Skills: Machine Learning, Deep Learning, Python, PySpark, SQL, AWS, GCP, BigQuery, Snowflake, Redshift, MLOps, DevOps, Distributed Processing, Statistical Modeling, CI/CD, Data Structures

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, Flexible Spending Account, 401(k), Employee Stock Grants, Employee Stock Purchase Plan, Paid Time Off, Paid Holidays, Paid Parental and Family Leave, Family Building Benefits, Back-up Care, Enhanced Family Support, Childcare Subsidy, Tuition Assistance, College Coaching, Short-term Disability, 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, Commuter and Transit Programs