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# Senior Data Scientist

- **Company:** Blend360
- **Location:** BlendColumbia, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Big Data, Business Software, Cloud Computing, Computer Programming, Database Queries, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Systems Integration, Large Language Models, Machine Learning Operations, Docker
- **Published:** September 21, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/l75jkaik2x

## About the Role

We are seeking a Senior Data Scientist with strong experience in Recommendation Systems and a solid understanding of Machine Learning and MLOps. The ideal candidate will be responsible for developing and improving recommendation solutions, integrating LLM-based capabilities when applicable, and taking machine learning solutions from experimentation and development through production. This role requires strong technical expertise in Python and SQL, experience with cloud technologies, and the ability to work effectively across the data science and engineering lifecycle., * Proven experience as a Data Scientist, with strong experience developing Machine Learning solutions.

 * Strong knowledge of Recommendation Systems and related modeling approaches.
 * Strong programming skills in Python.
 * Strong SQL skills and experience working with data at scale.
 * Hands-on experience taking Machine Learning models and solutions into production.
 * Solid understanding of MLOps principles and practices.
 * Experience working with cloud-based technologies and environments.
 * Experience with Docker and Kubernetes.
 * Experience integrating LLMs or LLM-based services into data science or machine learning solutions.
 * Strong analytical and problem-solving skills.
 * Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
 * Ability to work collaboratively in a multidisciplinary environment.

What about languages?

 * Advanced English proficiency is required, with the ability to communicate technical concepts clearly and effectively in a professional environment.

## Description

* Design, develop, and optimize machine learning models and recommendation systems for real-world business applications.
 * Develop recommendation solutions focused on relevance, personalization, and measurable business impact.
 * Work with large datasets using Python and SQL to explore data, develop features, train models, and evaluate results.
 * Integrate LLM-based capabilities and services into existing or new machine learning solutions when appropriate.
 * Apply MLOps practices to support the deployment, monitoring, maintenance, and continuous improvement of machine learning models.
 * Take data science solutions from experimentation and prototyping through production.
 * Collaborate with Data Scientists, Data Engineers, Software Engineers, and other stakeholders to deliver production-ready solutions.
 * Leverage cloud technologies and tools such as Docker and Kubernetes to support scalable machine learning applications.
 * Evaluate model performance, identify opportunities for improvement, and communicate technical decisions and trade-offs.
 * Contribute to best practices around machine learning development, deployment, reproducibility, and productionization.


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