> Markdown version of [/jobs/ext/3843494-data-scientist](https://www.wearedevelopers.com/jobs/ext/3843494-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist

- **Company:** Rite Care Pharmacy
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Business Analytics Applications, Data Analysis, Microsoft Azure, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Recommender Systems, Standard Sql, SQL Databases, Feature Engineering, Apache Spark, Git, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/psz9t8k55s

## About the Role

* You have practical experience developing machine learning models, including data preparation, feature engineering, modelling, and evaluation.
 * You have strong Python and SQL skills and write clear, structured code that others can work with. You are familiar with Git and practices such as testing and reproducible development.
 * You understand how to develop models for production, including reproducible training, reliable data pipelines, and the trade-offs between model quality, scalability, and maintainability.
 * You have practical expertise in A/B testing and experimental design, including metric selection, statistical power, and interpreting results.
 * You have a solid understanding of recommendation systems and relevant machine learning approaches, such as collaborative filtering, ranking models, or embeddings.
 * You enjoy working iteratively in a cross-functional product team, translating business goals into workable solutions, delivering improvements in manageable steps, and refining models based on experiment results and production performance.

## Description

Join our Data Science team and help shape the product recommendation experience at Redcare Pharmacy. You will work at the intersection of product, data, and technology, helping customers discover relevant products across our webshop and app.

About the tech stack:

Our technology landscape includes Databricks, Python, Spark, Machine Learning, Experimentation & Analytics Frameworks, SQL, MLOps, Git, CI/CD, Azure.

About your tasks:

 * Improve product recommendations in our webshop and app, analysing customer behaviour and product data to make recommendation widgets more relevant and useful.
 * Develop and refine recommendation models, engineering relevant features and applying state-of-the-art machine learning approaches.
 * Work on end-to-end Data Science initiatives, partnering closely with Product Managers, ML Engineers, Data Engineers, ML Ops, and domain experts to translate product questions into hypotheses and practical improvements.
 * Design, analyse, and interpret A/B tests to measure the impact of recommendation changes. Define success metrics and guardrails, assess statistical uncertainty, and turn results into clear recommendations for the product team.
 * Contribute across the full project lifecycle, from data exploration and experimentation through to implementation, productionizing, monitoring, and continuous improvement, with support from your colleagues.