Mercor is partnering with leading AI labs to advance frontier agent evaluations in data science and analytics. As a Data Science Expert, you'll design realistic, end-to-end data workflows that today's best models still struggle with, then grade how agents handle them. Expect to build scenarios across analytics and business intelligence (SQL analysis, dashboard builds, metric definition, A / B test design and readout, funnel and cohort analysis, ad-hoc business questions) and data engineering (ETL / ELT pipelines, dbt models, data quality monitoring, warehouse schema design, Airflow / Dagster DAGs). These scenarios will be challenging and take long sessions of focus. Who we're looking for - 3+ years as an analytics engineer, BI analyst, data scientist, or data engineer at a product or consumer company - Working fluency in at least two of : advanced SQL, dbt, warehousing (Snowflake, BigQuery, Redshift), experimentation (A / B tests), pipeline orchestration (Airflow, Dagster), metric modeling, Python for analysis - Comfortable reading and producing data artifacts : SQL queries, dbt models, experiment readouts, dashboard specs, schema diagrams - Clear written communication; able to articulate reasoning and data decisions step by step - Drawn to long-horizon, challenging problem sets rather than one-off microtasks Compensation $70–$120 / hr depending on domain depth and prior experience. Strong contributors are promoted based on task quality and throughput.