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# Data Scientist

- **Company:** DCG, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Github, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Tools, Codebase, Software Version Control, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p6lbhz7lqs

## About the Role

* Proven experience (3+ years) in data science or advanced analytics roles
 * Strong programming skills in languages such as Python (preferred) or R
 * Experience with machine learning techniques and statistical modelling
 * Proficiency in using data visualisation tools to communicate findings
 * Experience working with large, complex datasets
 * Understanding of data ethics, privacy, and governance principles
 * Ability to explain complex technical concepts to non-technical audiences
 * Experience working in cross-functional teams and collaborative environments
 * Experience of applying version control in GitHub and of collaborating with others on codebases
 * Strong problem-solving and critical thinking skills
 * Written and verbal proficiency in English is required

Nice to have:

 * Experience in a commercial, or education technology environment
 * Familiarity with cloud platforms such as AWS, Azure, or GCP
 * Experience with modern data engineering tools and frameworks
 * Knowledge of Agile methodologies and product development lifecycles
 * Publications, conference presentations, or contributions to the data science community
 * Experience of working with ML or AI Engineers

## Description

* Develop and deploy advanced machine learning models and statistical analyses to solve complex business challenges
 * Collaborate with data engineers to build scalable data pipelines for modelling and reporting
 * Translate business requirements into data science problems with defined success metrics
 * Prepare, clean, and manipulate large datasets for analysis and modelling
 * Communicate results and recommendations clearly to diverse stakeholders, including non-technical audiences
 * Work with product teams to integrate data science solutions into operational workflows
 * Ensure all models and analyses comply with data ethics and privacy standards
 * Lead experiments to test hypotheses and improve product or service performance
 * Build capability across teams by mentoring colleagues and sharing best practices
 * Contribute to the data science community and represent the organisation externally where appropriate


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