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# Senior Data Scientist

- **Company:** Artefact
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Software Engineering, Cloud Platform System, Data Analytics, Machine Learning Operations
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelbt040xm

## About the Role

* 3+ years of hands-on experience developing and deploying data-driven solutions.
 * Strong knowledge in applied machine learning and generative AI.
 * Solid understanding of software engineering and MLOps best practices.
 * Experience delivering AI projects in cloud environments.

In addition to technical expertise, we value individuals who can:

 * Show intellectual curiosity and structured problem-solving.
 * Approach challenges with pragmatism and creativity.
 * Bridge the gap between business stakeholders and technical teams.Deliver with autonomy and reliability, ensuring client satisfaction.Share knowledge and mentor more junior colleagues.Build trust with clients through clear communication and rigor.

## Description

As a Senior Data Scientist, you will play a key role in designing, delivering, and scaling AI solutions for our clients. You will be responsible for ensuring technical excellence while mentoring less experienced data scientists and acting as a trusted advisor for business stakeholders.

Your Main Responsibilities Will Include

Delivering end-to-end AI projects

 * Frame use cases with business teams, validate data availability, and define the right approach.
 * Design and implement machine learning or generative AI solutions that create measurable business impact.
 * Ensure solutions are robust, scalable, and production-ready by applying software engineering and MLOps best practices.

Driving technical excellence

 * Translate business requirements into robust AI pipelines and architectures.
 * Promote best practices in coding, testing, and deployment to guarantee maintainability and scalability.
 * Explore and apply advanced AI techniques to solve complex client problems.

Being a trusted advisor for clients and teams

 * Explain AI approaches in clear and pragmatic terms, highlighting feasibility, risks, and ROI.
 * Build strong relationships with client stakeholders, from operational teams to managers.
 * Act as a go-to expert for technical guidance within projects.

Contributing to team and knowledge development

 * Mentor junior data scientists, provide feedback, and support their growth.
 * Share best practices through workshops, documentation, and informal training sessions.
 * Contribute to internal accelerators and tools to increase delivery efficiency across projects.
 * Maintain active technology watch and bring new methods, tools, and frameworks into practice.


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