Senior Data Scientist - Ads Marketplace & Platform Optimization

Posted 6 Hours Ago
Be an Early Applicant
5 Locations
Remote
Senior level
Artificial Intelligence • Information Technology • Professional Services • Consulting
The Role
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.
Summary Generated by Built In

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
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

Skills Required

  • 5+ years of experience in Data Science, Machine Learning, or Applied Statistics
  • Experience working on marketplace platforms (ads, ride-sharing, e-commerce, two-sided ecosystems)
  • Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, allocation)
  • Strong foundation in statistical modeling, machine learning, and experimental design
  • Experience with large-scale data processing (Spark, Hadoop, Hive, BigQuery)
  • Advanced proficiency in SQL
  • Strong programming skills in Python or R
  • Python preferred
  • 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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The Company
6 Employees

What We Do

Gramian Consulting Group is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong foundation in software engineering and leadership, the firm helps organizations build high-performing teams by matching them with qualified professionals. They specialize in talent augmentation and recruiting, specifically focusing on connecting engineering and data/AI talent with organizations to unlock real business value.

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