Senior Applied Scientist
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 Applied Scientist (ML Systems & Data Infrastructure)
Builds
Production machine learning and data systems, scalable training/inference pipelines, and cloud-based data platforms.
Domain
AdTech, Machine Learning, Big Data, Cloud Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Machine learning and deep learning, statistical modeling, optimization algorithms, distributed processing, MLOps, cloud architecture, Python, PySpark, SQL, big data warehousing
Preferred skills
AdTech domain knowledge, GIS/geospatial data processing
Technologies
Python, PySpark, pandas, scikit-learn, scipy, numpy, AWS, GCP, BigQuery, Snowflake, Redshift, SQL, Scala
Responsibilities
Lead end-to-end development of ML and data products from problem framing to deployment; Build scalable data, training, and inference pipelines using distributed processing; Apply statistical methods and validation frameworks to ensure solution quality; Write production-quality code and contribute to engineering best practices; Collaborate across engineering, product, and business teams.
Seniority
Senior, hands-on IC with leadership responsibilities
