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Associate Data Science Analyst

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: ofi North America (Olam Food Ingredients)
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 71000 - 95000 USD Yearly USD 71000.00 95000.00 YEAR
Job Description & How to Apply Below

Description

We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply.

Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real.

Description

We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply.

Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real.

Position Summary

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, One Stream, Amazon Web Services (AWS), and Amazon Quick Sight, 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…
Position Requirements
10+ Years work experience
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