Gramian Consulting Group
Senior Data Scientist - Ads Marketplace & Platform Optimization
Be an Early Applicant
Senior Data Scientist to improve ads marketplace performance via modeling auction dynamics, pricing, targeting, and relevance. Analyze large-scale data, build prediction/anomaly/optimization models, define marketplace metrics, create data assets and dashboards, run A/B tests and causal inference, and partner with product and engineering to drive measurable marketplace improvements.
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
Requirements
- 5+ years of experience in Data Science, Machine Learning, or Applied Statistics
- Strong experience working on marketplace platforms (e.g., ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems)
- Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, or allocation problems)
- Strong foundation in statistical modeling, machine learning, and experimental design
- Experience with large-scale data processing (e.g., Spark, Hadoop, Hive, or BigQuery)
- Advanced proficiency in SQL and working with large relational datasets
- Strong programming skills in Python (preferred) or R
- Experience building and interpreting A/B tests and causal inference models
- Ability to work with cross-functional teams and influence product decisions through data
- Experience in online advertising / ad tech ecosystems
- Experience with auction optimization, bidding strategies, or ranking systems
- Familiarity with real-time systems or large-scale recommendation systems
- Experience building self-serve analytics tools or data platforms
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