Data Scientist

About the role

You will design and implement statistical and machine learning models that power real-time content understanding and budget allocation across millions of pieces of creator content. You will own the end-to-end data pipeline for our core ranking and pricing systems, translating raw signals from briefs, audiences, and outcomes into actionable intelligence. You will collaborate directly with product and growth teams to define experiments, measure impact, and iterate on models that directly influence how multi-million dollar creator ad budgets are distributed. You will build robust data infrastructure that ensures our attribution and measurement remain accurate, scalable, and trustworthy as we grow. You will work in an in-first environment where your analytical rigor and ability to communicate insights will shape product decisions and drive platform performance. You will be responsible for maintaining the integrity of our high-trust marketplace by ensuring data quality and model performance compound effectively over time. If you thrive in fast-paced, ambiguous problems and care deeply about connecting data to business outcomes, this role is your opportunity to own the growth engine of a generational shift in advertising.

Key facts

What you'll do

Analyze large-scale behavioral and performance data to uncover patterns that inform creator selection, pricing, and budget distribution strategies.

Build and maintain the data infrastructure and pipelines that ingest first-party signals from creative briefs, audiences, content, and campaign outcomes to support real-time decision-making.

Develop statistical and machine learning models that predict conversion likelihood, optimal pacing, and price points within our high-trust marketplace.

Partner with product and engineering teams to translate business requirements into data-driven specifications and success metrics for new features.

Design and run controlled experiments to measure the impact of algorithmic changes on creator performance and advertiser outcomes.

Create dashboards and reporting frameworks that provide clear visibility into campaign performance, model accuracy, and platform health for stakeholders.

Implement data quality checks and monitoring systems to ensure reliability, consistency, and trust in attribution and measurement across the platform.

Collaborate with cross-functional teams to prioritize analytical roadmaps that support scaling, compliance, and user trust.

Translate complex analytical findings into actionable recommendations that guide product strategy, budget allocation, and go-to-market decisions.

Continuously iterate on models and processes, incorporating new signals and feedback loops to improve forecasting and measurement over time.

Champion data best practices and governance across the organization to enable scalable, reproducible analysis and decision-making.

Support the development of tools that empower non-technical stakeholders to explore data and validate insights independently.

Drive the roadmap for data and modeling initiatives that underpin pricing, matching, and performance optimization in a rapidly growing marketplace.

Ensure that data workflows and model outputs align with the strategic goals of helping brands run creator campaigns with performance-grade precision.

Requirements

Demonstrated experience applying analytical and statistical methods to solve real-world problems using large, complex datasets.

Strong proficiency in SQL and at least one programming language such as Python or R for data analysis and modeling.

Solid understanding of statistical modeling, experimental design, and evaluation methods used to measure causal impact.

Experience building and deploying machine learning models, including regression, classification, and recommendation approaches relevant to advertising.

Proven ability to communicate technical concepts to non-technical stakeholders and influence decisions through data-backed narratives.

Track record of delivering data-driven insights that lead to measurable business outcomes in a fast-paced, high-growth environment.

Comfortable working with ambiguous problems and evolving requirements while maintaining rigor in analysis and execution.

Commitment to working in an in-first office environment, with availability during standard business hours in New York, NY.

Nice to have

Experience with advertising, media, or creator platforms and familiarity with performance marketing concepts.

Background in building and maintaining data pipelines, ETL frameworks, and data warehouses.

Knowledge of modern data tools such as dbt, Airflow, BigQuery, Snowflake, or similar platforms.

Exposure to LLM-based approaches for understanding creative content and automating insight generation.

Familiarity with A/B testing frameworks and causal inference techniques in marketing contexts.

Practical notes

This role is based in New York, NY and requires in-first attendance five days per week.

The position is full-time and eligible for comprehensive benefits as outlined in our offerings.

No external application portal is referenced; interested candidates should follow the process outlined on our official channels.