Senior Applied Scientist: Scale ML & Data for Privacy Ads

Talentify; New York (NY); On-site; USD 117,000 - 210,000; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k)

Job summary

T-Mobile Advertising Solutions is seeking a Senior Applied Scientist to work at the intersection of machine learning, software engineering, and big data. You will build AI/ML systems that impact customers and the business, collaborating with engineers, data scientists, product managers, and stakeholders to solve complex problems at scale.

The role embraces Lean Development, experimentation, and a build-measure-learn culture, with work shaping the future of our products and technologies.

Qualifications

• Bachelor's degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience.
• Quantitative disciplines include math, statistics, economics, CS, physics, engineering.
• 4-7 years experience building and deploying ML and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools.
• 4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift)
• 4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS)
• 4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.

Responsibilities

• Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.
• Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.
• Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.
• Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.
• Collaborate across engineering, product, and business teams while leading other engineers and data scientists.

Skills

AI/ML knowledge

Data structures

Statistical modeling

Big data

Python

PySpark

Cloud (GCP, AWS)

Distributed processing

Experimentation

Education

Bachelor's degree +5 years

Advanced degree +3 years

Quantitative discipline

Tools

BigQuery

Snowflake

Redshift

SQL

Spark

CI/CD tooling

Job description

T-Mobile Advertising Solutions is seeking a Senior Applied Scientist to work at the intersection of machine learning, software engineering, and big data. You will build AI/ML systems that impact customers and the business, collaborating with engineers, data scientists, product managers, and stakeholders to solve complex problems at scale.

The role embraces Lean Development, experimentation, and a build-measure-learn culture, with work shaping the future of our products and technologies.