Data Scientist

Vaspire Technologies Inc. is seeking a Data Scientist to turn business problems into data-driven solutions within Palantir Foundry. The role develops statistical and machine-learning logic, creates derived datasets, and implements analytical solutions for operational applications and reporting.

Responsibilities

• Work with business users to translate needs into measurable data definitions, calculations, models, and outputs
• Identify when a required business metric is not directly available in source data and create the logic to derive it
• Develop statistical, analytical, and machine-learning models to support business decisions
• Create derived datasets, features, scores, aggregations, classifications, or predictions
• Implement transformations in Palantir Foundry using Python, PySpark, SQL, Code Repositories, Pipeline Builder, or similar tools
• Understand source-data lineage, relationships, primary keys, and how outputs should connect to the Palantir Ontology and downstream applications
• Validate model logic and outputs with business subject-matter experts

Skills

• Strong practical data-science experience, including statistics, data modeling, feature engineering, and machine learning
• Experience selecting and applying appropriate methods for real business problems—not only writing code
• Experience with methods such as random forest, NLP/text analysis (TF-IDF, vectorization, truncated SVD), classification, clustering, forecasting, or similar analytical techniques
• Strong Python and/or PySpark experience for data transformation and model development
• Experience creating production-ready datasets and transformations from multiple source systems
• Ability to explain analytical logic clearly to both technical and business users
• Hands-on experience with Palantir Foundry, especially Code Repositories, Pipeline Builder, data lineage, Ontology, and operational applications
• Experience deploying analytical or ML outputs into business workflows, dashboards, or decision-support tools
• Experience with unstructured data, document/text analysis, embeddings/vectorization, or computer-vision workflows
• Automotive, manufacturing, quality, warranty, product-development, or engineering-data experience

Company Overview

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