Data Scientist, Next Gen Recommendation Systems
Impact.com · New York City
Posted about 3 months ago · $100,000 - $125,000
or apply directly on Impact.com's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Impact.com's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 42% of Impact.com's roles list one
- Ghost-job risk at Impact.com
- high 85 stale, 1 reposted of 86 open
- Hiring momentum
- 120 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Impact.com's own greenhouse board since 2026-08-03. Full hiring picture for Impact.com.
About this role
As a Data Scientist at impact.com, you will develop next-generation recommendation systems for their partnership automation platform. Your role involves designing and evaluating models that leverage a graph-based architecture, working closely with cross-functional teams to ensure the models serve recommendations effectively in both batch and real-time contexts. You will also manage the end-to-end machine learning lifecycle, from data design to production, while utilizing AI coding agents to enhance your workflow.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Impact.com as an employer.
What you need
- 3+ years of experience in data science/applied ML with a track record of shipping production models
- Strong Python and SQL skills; experience with large-scale data and distributed compute (Spark/Databricks 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 in designing and analyzing A/B tests
Nice to have
- Experience with graph-based ML
- Experience with modern deep learning recommender architectures
- Familiarity with vector search and vector databases
- Experience with real-time ML serving and feature stores
- Exposure to contextual bandits, reinforcement learning, or off-policy evaluation
What you get
- Medical, Dental, and Vision insurance
- Office-only catered lunch every Thursday, a healthy snack bar, and great coffee
- Flexible spending accounts and 401(k)
- Responsible PTO policy for work-life balance
- Mental health and wellness benefits including therapy sessions
- Monthly gym reimbursement policy
Worth weighing
- Salary range is $100,000 - $125,000 with a variable bonus and RSU grant, which may vary based on skills and experience
- The role requires a strong emphasis on ML engineering, not just data science
- Expectations for using AI coding agents as a core part of the workflow
- The position involves working with complex and evolving data relationships
Summarised from Impact.com's posting. Read the full original.
Listed by Impact.com on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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