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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Data Science Analyst - **Company:** OFI, INCORPORATED - **Location:** Chicago, IL, United States - **Experience:** Starter - **Salary:** $71,000.0 - $95,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Business Software, Cloud Computing, Databases, Relational Databases, Python (Programming Language), Machine Learning, SAP ERP, OneStream, Tensorflow, SAP (Applications), SAP Business Suiteing, SAP HANA, SQL Databases, Unstructured Data, Enterprise Data Management, Enterprise Software Applications, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Information Technology, Data Analytics - **Published:** July 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1cc16ba2178ea3ed ## About the Role * Master's degree is preferred in Data Science, Statistics, Mathematics, Operations Research, Computer Science or related field. * Experience working with relational databases (SQL) and exposure to enterprise platforms. * Proficiency in machine learning techniques and experience using Python, Scikit-learn, or other machine learning frameworks. * Familiarity with data analysis and visualization tools; exposure to AWS, Amazon QuickSight, SAP HANA, or enterprise applications is a plus. * Strong analytical, problem-solving, and critical-thinking skills with excellent written, oral communication, and interpersonal skills. ## Description Reporting to the VP Enterprise Applications and SVP Private Label, the Associate Data Science Analyst will be a member of the Enterprise Applications team, supporting analytics, machine learning, and AI initiatives across SAP and non-SAP business applications. This role provides hands-on experience working with enterprise data from various business functions and product segments, including peanuts, spices, and e-commerce. The Associate Data Science Analyst will collaborate with cross-functional teams across supply chain, procurement and finance to support the development of data-driven solutions, leverage predictive analytics and Generative AI technologies, and generate actionable insights that support business growth and operational excellence. This role will work with enterprise platforms, cloud technologies, and emerging AI solutions while helping solve real-world business challenges in a global organization. This is a great opportunity for an entry level candidate seeking to build upon their data science skills. * Onsite presence 5 days a week is required for this role Position Responsibilities: * Support analysis of large and complex datasets to help address business problems using statistical analysis, machine learning, and data science techniques. * Assist with analytics projects, including gathering business requirements, preparing data, building models, generating insights and contributing to business recommendations. * Collect, clean, transform, and analyze structured and unstructured data to identify trends, patterns, and opportunities through exploratory data analysis. * Work with enterprise databases and business applications, including SQL, SAP HANA, SAP ERP, OneStream, Amazon Web Services (AWS), and Amazon QuickSight, to extract, integrate, analyze, and visualize data. * Support the development, evaluation, deployment, and monitoring of machine learning models, leveraging tools such as Python, SQL and cloud-based platforms. * Assist in developing and evaluating Generative AI solutions, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and AI-powered business applications. * Create dashboards, visualizations, and presentations that effectively communicate insights and recommendations to technical and business stakeholders. * Collaborate with cross-functional teams to support the identification of analytical opportunities, document methodologies and results, and contribute to team learning and demos. ## Related Videos - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)