Senior Data Science Engineer
Core
Building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies to enable rich consumer insights and intelligent audience solutions.
Role type
Senior Data Science Software Engineer (MLOps & Big Data)
Builds
Production ML systems, scalable data/training/inference pipelines, and AI/ML solutions for advertising.
Domain
AdTech, Cloud Computing, Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
Machine learning, deep learning, statistical modeling, optimization algorithms, distributed processing, MLOps, DevOps, big data architecture, modern analytical data platforms, large-scale data warehousing, cloud platforms, SQL, Python, PySpark, streaming data, relational and non-relational databases, containerized environments
Preferred skills
AdTech, GIS, geospatial data processing
Technologies
GCP, AWS, Python, PySpark, pandas, scikit-learn, scipy, numpy, BigQuery, Snowflake, Redshift, SQL, Scala
Responsibilities
Lead end-to-end development of ML and data products 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.
Seniority
Senior, hands-on IC with leadership responsibilities
