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# Data Scientist

- **Company:** Precision, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Cloud Database, Data Visualization, Relational Databases, Distributed Computing Environment, Python (Programming Language), Machine Learning, Scrum Methodology, Tensorflow, Azure Machine Learning, Cloud Platform System, Sql Optimization, Pytorch, Apache Spark, Deep Learning, AI Platforms, Kubernetes, Machine Learning Operations, Docker, Unsupervised Learning
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/dc002975-e03e-4780-8291-206a987d11d6/senior-data-scientist

## About the Role

* Advanced proficiency in Python for data science and machine learning development.
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 * Strong expertise in Machine Learning algorithms, supervised and unsupervised learning techniques.
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 * Experience with Deep Learning frameworks such as TensorFlow or PyTorch.
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 * Strong foundation in Statistics, Probability, Linear Algebra, and Predictive Modeling.
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 * Advanced SQL skills and experience working with enterprise RDBMS systems.
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 * Experience with Big Data platforms such as Spark or distributed computing frameworks.
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 * Hands-on experience deploying models using Docker, Kubernetes, and MLOps best practices.
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 * Experience working with cloud-based data science platforms (Azure ML, AWS SageMaker, or GCP AI Platform).
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 * Strong experience in data visualization and storytelling using BI tools.
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 * Experience working in Agile/Scrum environments and cross-functional teams.

## Description

Job Summary: We are seeking a highly experienced Senior Data Scientist with 10+ years of experience in advanced analytics, statistical modeling, and machine learning solution development. The ideal candidate will design, develop, validate, and deploy scalable predictive and prescriptive models using modern data science, AI/ML, and cloud technologies. This role requires strong expertise in Python, statistical analysis, machine learning algorithms, big data platforms, cloud ecosystems, MLOps practices, and business-driven analytics delivery.