T-Mobile
T-Mobile
T-Mobile mobil xizmatlar va mijozlar tajribasiga yo‘naltirilgan “Un-carrier” yondashuvi asosida tashkil etilgan AQSh simsiz telekommunikatsiya kompaniyasidir. Kompaniya faoliyati simsiz ulanish, moslashuvchan tariflar va 5G tarmog‘ini muntazam kengaytirishni qamrab oladi, karyera imkoniyatlari esa biznes savdolari, texnologiyalar va mijozlar tajribasi yo‘nalishlarini o‘z ichiga oladi. T-Mobile tibbiy sug‘urta, ota-onalik ta’tili va ta’lim dasturlari kabi imtiyozlar orqali xodimlarini qo‘llab-quvvatlashini ham ta’kidlaydi. Bu xodimlar va mijozlar uchun yuqori sifatli tajribalar yaratishga e’tibor qaratilishini ko‘rsatadi.

Senior Data Science Engineer - Onsite at T-Mobile

Senior Data Science Engineer at T-Mobile developing privacy-focused advertising products with machine learning, big data, and cloud technologies. Leads scalable AI/ML pipelines and production systems.

Tavsif

  • Drive machine learning and data product development from problem definition through deployment and monitoring, keeping solutions aligned with business goals
  • Create scalable data, model-training, and inference pipelines with distributed processing and cloud platforms
  • Use statistical analysis, experimentation, and validation methods to assess solution quality and business value
  • Produce reliable, production-ready code while advancing testing, CI/CD, observability, and other engineering practices
  • Partner with engineering, product, and business stakeholders while providing leadership to engineers and data scientists
  • Combine machine learning, software engineering, and big-data expertise to develop AI and ML systems
  • Contribute to iterative experimentation, continuous development, and build-measure-learn practices

Talablar

  • Bachelor's degree with at least five years of related experience, or an advanced degree with at least three years of related experience
  • Degree in a quantitative field such as mathematics, statistics, economics, computer science, physics, or engineering
  • Four to seven years of experience building and deploying machine learning and deep learning solutions at scale
  • Working knowledge of MLOps and DevOps practices and tooling
  • Four to seven years of experience with big-data architectures, modern analytical platforms, and large-scale warehouses such as BigQuery, Snowflake, and Redshift
  • Four to seven years of experience using large-scale distributed systems and cloud platforms with SQL, Python, Scala, and AWS
  • Four to seven years of experience solving complex data, machine learning, or algorithmic problems in production using modern engineering practices
  • Strong knowledge of AI/ML, data structures, statistical modeling, optimization, big data, and design thinking
  • Advanced familiarity with cloud services across GCP and AWS
  • Proficiency in Python, PySpark, and libraries including pandas, scikit-learn, scipy, and numpy
  • Hands-on experience with streaming data, relational and non-relational databases, distributed processing, and related architecture
  • Experience operating production machine learning and data systems in cloud-based and containerized environments
  • Must be at least 18 years old and legally authorized to work in the United States.
  • benefits

Imtiyozlar

  • Annual stock grant
  • Employee stock purchase plan
  • 401(k) retirement plan
  • Free year-round financial coaching
  • Medical, dental, and vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family-building benefits
  • Backup care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability coverage
  • Voluntary accidental death and dismemberment coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service and home internet discounts
  • Pet insurance
  • Commuter and transit programs
  • Career growth opportunities

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