> Markdown version of [/jobs/ext/1976942-data-scientist-with-ml](https://www.wearedevelopers.com/jobs/ext/1976942-data-scientist-with-ml). 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 with ML - **Company:** Intersources Inc. - **Location:** Bentonville, AR, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Customer Data Management, Python (Programming Language), Machine Learning, SQL Databases, Pyspark, Machine Learning Operations - **Published:** August 7, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/27516622#/jobs/27516622 ## About the Role Data Scientist with ML Location - Bentonville, AR be ready to travel once as required (not frequent) monthly once or twice Long term Languages: SQL, Python, PySpark Cloud computing: experience with GCP preferred, especially with vertex AI. Skills and experiences: o 4 plus years of experience with developing machine learning models and have the right data science skills with problem solving, research and framing into ML problems. o 4 plus years of experience with deploying machine learning models into production environments and familiar with MLOps practices, be able to write clean, and production level code. o 5 plus years of experience with building Python libraries and APIs (written in Python) o 3 plus years of experience with machine learning solutions within merchandising related space domain (assortment, item selection, pricing etc) in mandatory Notes: * This is an independent contributor role from day 1 .master's degree is required. * Resource can be hybrid but be ready to work during CST time zone and be ready to travel once as required (not frequent) * This is a hands-on position and will be working with a team of customer data scientists & ML engineers. * The person should be able to explain his or her work and be able to go through models/code. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)