# Data Scientist, Next Gen Recommendation Systems at impact.com

- Company: impact.com
- What the company does: impact.com offers a unified platform for managing affiliates, influencers, and referrals, streamlining partnerships for brands & publishers.
- Company website: https://impact.com
- Type: Startups
- Level: Mid level
- Location: New York City
- Work setup: On-site
- Pay: $100K to $125K base salary per year (USD)
- Posted: 2026-04-27
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/impact/jobs/8509182002
- Page: https://www.1752.vc/careers/jobs/impact-com-data-scientist-next-gen-recommendation-systems/

## About the role

We're seeking a Data Scientist to help build the next generation of recommendation systems powering our partnership automation platform. Our ecosystem connects a rich set of entities—advertisers, media publishers, creators, products, and consumers—and the relationships between them are where the real value lives. Your work will help surface the right partnerships, the right products, and the right content across this network at scale.

## What they're looking for

- 3+ years of experience in data science / applied ML, with a track record of shipping production models that delivered measurable user or business impact
- Strong Python and SQL skills, experience working with large-scale data and distributed compute (Spark/Databricks or equivalent)
- Hands-on experience building recommendation or ranking systems—candidate generation, learning-to-rank, retrieval and reranking, or implicit feedback modeling
- Experience with embeddings and representation learning for users, items, content, or other entities
- ML engineering capability (or strong willingness and demonstrated ability to develop it): you can build, ship, and maintain production pipelines—not just prototypes in notebooks
- Strong experimentation skills: designing and analyzing A/B tests, interpreting results, and communicating findings to stakeholders

Tags: Product