Data Scientist

Gradera

RemotePosted July 25, 2026

About the role

Gradera is seeking a highly analytical Data Scientist to transform complex real-world data into meaningful insights and scalable machine learning solutions. In this role, you will work across the full data lifecycle—from data collection and cleaning to modeling, experimentation, and data-driven recommendations—partnering with data engineering and business teams to explore diverse datasets, assess data quality, and build robust analytics assets. You will apply statistical techniques, develop and deploy ML models (including regression, classification, clustering, NLP, and time-series analyses), design experiments, and build dashboards to support decision making. The position is remote (Remote OK) and based in the United States.

Data Scientist

Gradera

RemotePosted July 25, 2026

About the role

Gradera is seeking a highly analytical Data Scientist to transform complex real-world data into meaningful insights and scalable machine learning solutions. In this role, you will work across the full data lifecycle—from data collection and cleaning to modeling, experimentation, and data-driven recommendations—partnering with data engineering and business teams to explore diverse datasets, assess data quality, and build robust analytics assets. You will apply statistical techniques, develop and deploy ML models (including regression, classification, clustering, NLP, and time-series analyses), design experiments, and build dashboards to support decision making. The position is remote (Remote OK) and based in the United States.

Role & Responsibilities: - Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources - Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns - Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling - Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems - Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams - Develop a deep understanding of the business domain and the underlying data that represents it - Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting - Apply s

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Role & Responsibilities: - Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources - Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns - Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling - Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems - Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams - Develop a deep understanding of the business domain and the underlying data that represents it - Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting - Apply s