Data Scientist at impact.com

Compensation

$100,000 – $125,000/yr

Setup: Hybrid
Location: New York, New York
Type: Full-time
Posted: May 14, 2026

Description

impact.com is looking for a Data Scientist to join their team. This role involves developing and implementing recommendation systems using graph-based architecture and semantic embeddings. The successful candidate will be responsible for owning the full lifecycle of their work, from problem formulation to production deployment, collaborating with various internal teams, and continuously experimenting to improve model effectiveness.

Required Skills

Python
SQL
large-scale data
distributed compute
recommendation systems
ranking systems
embeddings
representation learning
experimentation skills

Additional Information

Required Previous Experiences: 3+ years of experience in data science / applied ML, with a track record of shipping production models that delivered measurable user or business impact.
Preferred Qualifications: Experience with graph-based ML: graph neural networks (KGAT, transformers or similar), graph-aware retrieval, or knowledge graph embeddings.
Experience with modern deep learning recommender architectures (two-tower, sequence/transformer-based recommenders, multi-task ranking).
Familiarity with vector search and vector databases (FAISS, ScaNN, Vespa, Milvus, or similar) and approximate nearest neighbor methods.
Experience with real-time ML serving, feature stores (Feast, Tecton, or equivalent), and low-latency inference patterns.
Exposure to contextual bandits, reinforcement learning, or off-policy evaluation in recommendation settings.
Familiarity with PyTorch/TensorFlow and PyTorch Geometric / DGL for graph workloads.
Familiarity with GCP (Vertex AI, BigQuery, Cloud Run) and/or mature MLOps practices (CI/CD for ML, monitoring, drift detection).
Experience in adtech, martech, e-commerce, or two-sided/multi-sided marketplace recommendations.