
Data Analysis Expert
21 hours ago
Job Summary
This is a mid-senior level position for a Data Scientist who will specialize in data analysis and statistical modeling. The role is central to uncovering insights from data generated by raters, helping clients improve ad relevance and related projects.
The Data Analyst will analyze operational and labeling data to identify trends, surface bias, and design frameworks that strengthen program performance and client outcomes.
Main Responsibilities:
- Analyze and develop program and rater performance metrics (e.g., quality, bias, consistency, efficiency).
- Design and conduct experiments and statistical tests to uncover drivers of performance and label patterns.
- Build dashboards, reports, and automated monitoring systems using business intelligence 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.
- Partner with client teams to support 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.
Qualifications:
- Strong proficiency in Python, SQL, and R programming languages.
- 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 business intelligence/visualization tools such as Looker Studio, Sisense, Tableau, or PowerBI.
- Experience in Google Cloud Platform (GCP) or other 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).
- Comfortable supporting client meetings as a subject-matter expert, while primarily focused on internal analysis and insights.
Preferred Skills:
- Experience with bias detection, NLP, or applied AI/ML models.
- Knowledge of rater evaluation methods and quality metrics such as Krippendorff's alpha, chance-corrected agreement, or structured sampling.
- Background in quality, linguistic or cultural data analysis is a plus.
- Exposure to human computation programs or crowdsourced labeling workflows.
- Oral and written comprehension.
- Appropriate use of language.
- 3+ years in a quantitative role (Data Scientist, Product Analyst, or similar) with proven ability to navigate ambiguous environments.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field OR equivalent practical experience.
- An advanced degree is a plus but not required.
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