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100% Remote Data Scientist (Palantir Foundry & PySpark) at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2232150&uid=

From:

Akhilesh,

DMS Visions

[email protected]

Reply to:   [email protected]

Hi,
Hope all is well,

Please revert me with updated resume if would like to apply for this Role,

100% Remote Data Scientist (Palantir Foundry & PySpark)

6 month project

Visa- Open

Must have SOLID LinkedIn profile

About the Role:
We are looking for a Data Scientist with 5+ years of experience in data science and machine learning and 2+ years working with Palantir Foundry. You will analyze large datasets, develop predictive models, and deploy AI/ML solutions to drive business decisions. This role requires a mix of advanced analytics, PySpark-based data processing, and Palantir Foundry expertise.
Responsibilities:
Utilize Palantir Foundry for data exploration, transformation, and modeling.
Develop and deploy machine learning models using Python, PySpark, and Foundry ML tools.
Perform advanced statistical analysis, forecasting, and optimization.
Build data pipelines that feed real-time analytics and AI applications.
Collaborate with Data Engineers to operationalize ML models into production workflows.
Communicate insights through visualizations, dashboards, and reports.
Required Qualifications:
5+ years of experience in Data Science, Machine Learning, or AI.
2+ years of hands-on experience with Palantir Foundry for data integration and ML.
Proficiency in Python, PySpark, and SQL for data manipulation and analysis.
Strong background in statistical analysis, machine learning, and predictive modeling.
Experience deploying models in production environments is a plus.
Familiarity with deep learning frameworks (TensorFlow, PyTorch) is a bonus.

 Thank you
[email protected]
972-645-0322, 110

Keywords: artificial intelligence machine learning
100% Remote Data Scientist (Palantir Foundry & PySpark)
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2232150&uid=
[email protected]
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06:02 AM 06-Mar-25


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