

Data Science/ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science/ML Engineer with a contract length of "unknown," offering a pay rate of "unknown." Required skills include 3+ years in Python, SQL, cloud platforms (Azure, GCP, AWS), and Palantir Foundry.
π - Country
United States
π± - Currency
Unknown
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π° - Day rate
-
ποΈ - Date discovered
July 16, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Remote
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π§ - Skills detailed
#Palantir Foundry #Cloud #Python #Spark (Apache Spark) #Spark SQL #Data Science #SQL (Structured Query Language) #Azure #AWS (Amazon Web Services) #Deployment #PySpark #TypeScript #Clustering #GCP (Google Cloud Platform) #Data Analysis #ML (Machine Learning)
Role description
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Required Qualifications 3+ years of software development experience building and delivering customer facing cloud-based analytic solutions 3+ years of end-to-end application development experience on Palantir foundry or similar systems, leveraging tools such as Workshop, Code Repositories, Pipeline Builder, Ontology objects/actions and Typescript functions Foundry applications or similar systems to meet business requirements and objectives. 3+ year of experience collaborating with cross-functional teams including data analysts, engineers, and business stakeholders to gather requirements and define project scope. 3+ years coding in Python/PySpark, SQL, and LLM modeling 3+ years in cloud-based platforms such as Azure, GCP and AWS. Preferred Qualifications 5+ years of software development experience building and delivering customer facing cloud-based analytic solutions 5+ years of experience leading the design, development, and deployment of applications on Palantir Foundry Platform Retail merchandising domain expertise including category management, assortment optimization, product clustering, product price sensitivity and promotion affinity evaluation, store clustering and localization Experience with Prompt Engineering developing solutions leveraging LLM models