Senior Data Scientist - Ads Marketplace & Platform Optimization

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 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 Nice to Have 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