[Hiring] Senior Data Scientist @Gramian Consulting Group

Role Description

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

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

Qualifications

• 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