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# Applied Business Data Scientist

- **Company:** TESCO INC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Cluster Analysis, Github, Apache Hadoop, Python (Programming Language), Microsoft Office, Natural Language Processing, Microsoft PowerPoint, SQL Databases, Tableau (Software), Optimization Algorithms, Wikis, Virtual Agents
- **Published:** June 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/tesco-magyarorszag-applied-business-data-scientist-oxa6m366ns

## About the Role

* Education: University
 * Professional experience: 4 years+
 * Required English level: Advanced (C1)
 * Strong understanding of business background, stakeholder management and able to solve complex business problems with technical solutions
 * 3+ year experience in data science application preferably in Retail or CPG
 * Strong international collaboration skills in cross-locational teams
 * Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital
 * Other required skills: Microsoft Office, Applied Math: Applied Statistics, Design of Experiments, Regression, Decision Trees, Forecasting, Optimization algorithms, Clustering, NLP. Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS PowerPoint, GitHub., Tesco is a diverse and exciting employer, dedicated to being #aplacetogeton, providing career-defining opportunities to all our colleagues. If you chose to join our business, we will provide you with

## Description

* Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical, data science solution document calling out how application of data science will improve decision making- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
 * Building Statistical models and ML/AI algorithms, Agentic AI features with practitioner level competency
 * Writing structured, modularized & computationally efficient production-ready codes using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc.) with expert competency
 * Packaging the results in a manner that is easy to consume for the business (insight led, visually easy to understand) and answering the original question)
 * Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)
 * Keeping up-to-date with the latest in data science and retail analytics, actively taking part in knowledge sharing among colleagues


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