About this role
About the Role Lead and grow the adjoe Ads Data Science team responsible for the end-to-end bidding algorithm, including conversion prediction, user quality estimation, and bid shading. Own the ML lifecycle from research to deployment and real-time inference with sub-200ms latency across 10 million daily users. What You'll Do
- Build, mentor, and scale the team of Data Scientists, Data & ML Engineers, and Data Analysts who own the bidding algorithm.
- Own the end-to-end ML lifecycle: research, experimentation, model deployment, online evaluation, and real-time inference under 200 ms.
- Collaborate with Product and Cloud Infrastructure to align on roadmap, OKRs, and best practices; drive long-term strategy and quarterly goals.
- Work hands-on on data science tasks and mentor on advanced modeling, code quality, and strategic thinking. What We're Looking For
- 5+ years in Data Science; 2+ in leadership; track record architecting and deploying ML solutions, recommender systems, and neural networks.
- Experience with large-scale data sources (AWS Athena, Kafka, Spark, Flink, S3, MySQL) and extracting signals from a 350TB data lake; strong Python.
- Experience building an MLOps stack; Airflow, Spark, or Flink is a strong plus.
- Ability to translate mathematical foundations into clear product decisions; align with product and infra teams; contribute to roadmap and OKRs. Nice to Have
- Fluency in leading ML teams, scaling pipelines, and deploying models to production with measurable business impact; experience with PyTorch or TensorFlow is relevant but optional.
- Experience in programmatic advertising or adtech domain; knowledge of real-time bidding is a plus.