
Expert Data Insight Provider
2 weeks ago
As a Scientific Analyst, you will be responsible for examining and interpreting complex datasets to inform business decisions. Your primary role will be to uncover insights from rater-generated data, helping clients enhance AI-driven ad relevance and related projects.
This strategic position involves designing models, building analytics frameworks, and collaborating closely with linguists, program managers, and raters. Your findings will guide operational decisions, shape client recommendations, and drive innovation at the intersection of AI, linguistics, and human judgment.
Key Responsibilities:- Develop, implement, and maintain program and rater performance metrics (e.g., quality, bias, consistency, efficiency).
- Design and analyze experiments and statistical tests to uncover drivers of performance and label patterns.
- Build dashboards, reports, and automated monitoring systems in BI tools.
- Identify and highlight potential biases or preferences in labeling data (e.g., topic-specific or cultural/linguistic bias).
- Collaborate with linguists, raters, and program managers to translate findings into operational and client-facing insights.
- Conduct applied analytics using Python, SQL, and statistical modeling, with opportunities to apply predictive modeling, NLP, and bias detection algorithms.
- Manage and explore datasets ranging from structured spreadsheets/CSVs to larger-scale rater outputs (scaling to millions of rows as needed).
- Partner with client teams by supporting linguists and PMs in meetings where technical depth and context are required.
- Drive process improvements and automation, surfacing insights that reduce variability, improve efficiency, and strengthen program resilience.
Requirements:
- Strong proficiency in Python, SQL, and R.
- Applied expertise in statistical modeling and experimental design (e.g., sampling, confidence intervals, agreement metrics).
- Experience working with moderate-to-large datasets, with ability to scale analyses as data volume grows.
- Familiarity with BI/visualization tools such as Looker Studio, Sisense, Tableau, or PowerBI.
- Experience in cloud data environments preferred.
- Excellent ability to communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
- Strong collaboration skills, with experience working in cross-functional teams (linguists, operations, engineering, client teams).
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