Senior Data Science Engineer — ML at Scale & Impact

T-Mobile

New York (NY)

On-site

USD 116,500 - 210,100

Full time

14 days+

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Benefits offered by this job

401(k)
Employee stock purchase plan
Paid time off
Flexible spending account
Tuition assistance

Job summary

T-Mobile is looking for a Senior Data Science Software Engineer to develop innovative AI and ML systems that will shape our advertising products. In this role, you'll lead projects that enhance consumer insights and advertising performance.

Your expertise in machine learning and big data will enable us to deliver impactful solutions and drive customer engagement directly. Join a diverse team that values collaboration and a strong commitment to consumer privacy.

Qualifications

  • 5+ years of related work experience in data science.
  • Familiarity with MLOps and DevOps tools.
  • Experience with machine learning solutions at scale.
  • Worked with big data architecture and data warehousing technologies.
  • Experience with large-scale distributed data systems.

Responsibilities

  • Lead the development of machine learning products.
  • Build scalable data and training pipelines.
  • Apply statistical methods for quality assurance.
  • Write production-quality code and implement best practices.
  • Collaborate with teams to solve complex problems.

Skills

AI/ML expertise
Statistical modeling
Data structures
Big data technologies
Distributed processing

Education

Bachelor’s Degree in a Quantitative Discipline
Advanced Degree with 3 years experience

Tools

Python
PySpark
AWS
BigQuery
Snowflake

Job description

T-Mobile is looking for a Senior Data Science Software Engineer to develop innovative AI and ML systems that will shape our advertising products. In this role, you'll lead projects that enhance consumer insights and advertising performance.

Your expertise in machine learning and big data will enable us to deliver impactful solutions and drive customer engagement directly. Join a diverse team that values collaboration and a strong commitment to consumer privacy.

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