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# Data Scientist

- **Company:** Malisoft LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $124,800.0 - $249,600.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Database, Data Mining, Python (Programming Language), Machine Learning, Unstructured Data, Reinforcement Learning, Google Cloud, Performance Testing, Deep Learning, Data Analytics, Machine Learning Operations, Programming Languages
- **Published:** June 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0fd649117f9bdc35

## About the Role

Do you have experience in Technical writing within technology?, * Minimum 5 years of hands-on experience as a Data Scientist with a proven track record in AI/ML projects.

 * Expert proficiency in Python, R, or similar programming languages for data analysis and model building.
 * Strong knowledge of statistical analysis, data mining techniques, and machine learning algorithms.
 * Exceptional written and verbal communication skills, enabling clear technical documentation and stakeholder collaboration.
 * Experience working with large-scale, structured and unstructured datasets.
 * Ability to work autonomously and proactively in a fully remote setting.
 * Demonstrated commitment to detail, curiosity, and a passion for delivering data-driven solutions.

Preferred Qualifications:

 * Experience contributing to or leading AI training projects.
 * Background in deep learning, NLP, or reinforcement learning frameworks.
 * Familiarity with cloud-based data processing and model deployment tools (e.g., AWS, GCP, Azure).

## Description

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters., * Design, develop, and implement advanced machine learning models for AI training initiatives.

 * Analyze and interpret large, complex datasets to guide project strategies and decision-making.
 * Collaborate with cross-functional teams to understand project requirements and deliver actionable insights.
 * Evaluate the efficacy of data-driven solutions through rigorous validation and performance testing.
 * Document methodologies, findings, and procedures with clarity and precision for technical and non-technical stakeholders.
 * Maintain high standards of data quality, privacy, and security throughout all project phases.
 * Continuously research and integrate cutting-edge data science techniques and tools into project workflows.


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