Senior Data Scientist - Ads Marketplace & Platform Optimization
Salary context for this role
JobGrid.eu combines visible employer pay, official public benchmarks, and current JobGrid listings for Data Science & ML.
Official benchmark
EUR 90,232 / yearGermany country-level benchmark for Mathematik und Statistik, based on 2025 earnings data.
- Match quality
- Close official role match
- Geography
- Country-level
- Salary observations
- 2025 earnings survey
- Official record updated
- May 8, 2026
- Checked by JobGrid
- May 11, 2026
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- 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.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
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