Data Scientist, Next‑Gen Graph‑Based Recs & ML
impact.comRole Overview
impact.com is hiring a mid-level Data Scientist, Next‑Gen Graph‑Based Recs & ML. This is a full-time role in New York, New York. Part of impact.com's Data Science hiring, posted last week. The posted range is $100k to $125k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job description
impact.com is hiring a Data Scientist for their New York office to develop next-gen recommendation systems for their partnership automation platform. The ideal candidate will have extensive experience in machine learning, especially in building and deploying recommendation systems, as well as strong Python and SQL skills. Offering a salary range of $100,000 to $125,000 plus bonuses and benefits including health insurance and a flexible work environment.#J-18808-Ljbffr
About impact.com
impact.com
impact.com
1 other open role at impact.com on TryApplyNow.
Frequently Asked Questions
How do I apply for the Data Scientist, Next‑Gen Graph‑Based Recs & ML position at impact.com?
Use the Apply button above to submit your application directly to impact.com. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Scientist, Next‑Gen Graph‑Based Recs & ML position at impact.com located?
This position is based in New York, New York. impact.com has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Data Scientist, Next‑Gen Graph‑Based Recs & ML role at impact.com pay?
impact.com has posted a compensation range of $100k to $125k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Data Scientist, Next‑Gen Graph‑Based Recs & ML role at impact.com posted?
This role was posted on June 27, 2026 (12 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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