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$100,000 – $125,000
Listed on impact.com’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A hands-on data scientist role building graph-based recommendation systems for a commerce partnership platform connecting advertisers, creators, and consumers. This suits someone with production ML experience who can own modeling projects end-to-end, from problem framing through deployment, and who thrives working across graph embeddings, retrieval systems, and experimentation in a collaborative environment.
Our summary, not impact.com’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 3+ years in data science or applied ML with shipped production models
- Python and SQL proficiency
- Experience with large-scale data and distributed compute (Spark or equivalent)
- Hands-on experience building recommendation or ranking systems
- Experience with embeddings and representation learning
- ML engineering capability to build, ship, and maintain production pipelines
- Strong experimentation skills: designing and analyzing A/B tests
- Fluent user of AI coding agents in daily workflow
- Ability to learn new techniques and tools quickly
- Problem-solving and autonomy in ambiguous spaces
Nice to have
- Graph-based ML experience (GNNs, graph-aware retrieval, knowledge graph embeddings)
- Deep learning recommender architectures (two-tower, sequence/transformer models, multi-task ranking)
- Vector search and vector database experience
- Real-time ML serving and feature store familiarity
- Contextual bandits, reinforcement learning, or off-policy evaluation experience
- PyTorch/TensorFlow and graph libraries
- GCP and MLOps practices (CI/CD, monitoring, drift detection)
- Adtech, martech, e-commerce, or marketplace recommendation background