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# Principal Data Scientist

- **Company:** DIGITAL FUTURES ASSOCIATION, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Machine Learning, SQL Databases
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj26ng5x5t

## About the Role

* Extensive experience as a data scientist working on end-to-end projects, from discovery to deployment.
 * Strong statistical, analytical and machine learning skills, with solid foundations in experimentation and evaluation.
 * Proficiency in relevant tools and languages (e.g. Python, SQL, common data science libraries) and working with large and diverse datasets.
 * Experience collaborating with engineers to transition models into production environments.
 * Ability to scope and lead multiple concurrent initiatives, managing priorities and expectations.
 * Strong storytelling skills, able to translate technical results into clear business narratives.

Behaviours & mindset

 * Acts as a scientist-practitioner, balancing rigour with pragmatism.
 * Curious and experimental, comfortable exploring uncertainty and iterating quickly.
 * Supportive mentor, invested in developing the skills of more junior team members.
 * Collaborative and open to challenge from peers in engineering, product and business.
 * Outcome-oriented, focused on impact rather than just model sophistication.

## Description

* Lead the design and delivery of advanced analytics and machine learning solutions for complex client problems.
 * Frame problems, select appropriate modelling approaches and guide experimentation from hypothesis through to validated solution.
 * Collaborate with product, transformation and engineering leads to translate business questions into analytical projects and production-ready models.
 * Provide technical leadership and mentoring to data scientists and analysts across projects.
 * Communicate findings, insights and model implications clearly to senior stakeholders.
 * Contribute to the development of reusable assets, accelerators and best practices in data science.


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