Senior Data Scientist - Ads Marketplace & Platform Optimization
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- Key details
- 1 location, IT, Data Science & ML, Remote, Senior, Contract
- Current openings
- 20 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 11, 2026.
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About Us
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
Role overview
We are looking for an experienced Senior Data Scientist to join a high-impact Ads Data Science team focused on scaling and optimizing a rapidly growing advertising marketplace.
Advertising is a core revenue driver, and this role sits at the heart of building a high-performance, data-driven marketplace ecosystem — where advertisers, users, and platform dynamics interact in real time.
You will work on problems such as auction dynamics, pricing, targeting, relevance, and marketplace efficiency, leveraging large-scale data and advanced modeling techniques to drive measurable business impact.
Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
Employment type: Contractor or FTE
Duration of contract: long-term, but with 3-month increments based on performance
Location:
Responsibilities
- Design and apply data science and machine learning solutions to improve ads marketplace performance
- Analyze large-scale datasets to uncover patterns in marketplace behavior (bidding, pricing, engagement, conversion)
- Develop models for prediction, anomaly detection, and optimization
- Define and track core marketplace metrics (supply/demand balance, auction efficiency, advertiser value)
- Build data assets (tables, dashboards, self-serve tools) to empower product and engineering teams
- Partner with Product and Engineering to translate marketplace challenges into DS solutions
- Design and analyze A/B experiments and causal inference frameworks to validate impact
- Communicate insights and recommendations to cross-functional stakeholders