Associate Data Science Analyst
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Role details
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Job 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.
Requirements
- 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.
Benefits & conditions
3.73.7 out of 5 stars 24 East Washington Street, Chicago, IL 60602 $71,000 - $95,000 a year, Pulled from the full job description
- Paid parental leave
- Parental leave
- 401(k) matching
- Paid time off
- Paid sick time
- Volunteer time off
- Paid holidays, ofi provides employees with a comprehensive & competitive benefits package that is designed to support your career, health, and future. A Rewarding Career Awaits!
The pay for this role ranges from $71,000 to $95,000 annually and is based on the position responsibilities and geographic location. Actual pay within this range may be determined based on the candidate’s experience, qualifications, and/or other determining factors.
Performance-based Bonuses: Discretionary bonus rewarding company performance as well as your contributions and impact, for eligible roles.
Comprehensive & Affordable Benefits: Coverage for you (and your eligible dependents) with plans designed for peace of mind and savings for the future.
A Culture of Well-being: Paid Volunteer time off, access to events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being for you and your family.
Family Support: Paid parental leave, Fertility benefits and lactation support, including milk shipping for traveling employees.
Additional Perks That Make a Difference:
- Vacation time from Day 1 - Your time off starts accruing immediately, growing with your tenure.
- Paid Sick Leave - Rest, recover, and return strong - with paid sick leave on ofi.
- Company Paid Holidays - ofi values work-life balance and the importance of celebrating life’s special moments.
- 401K Match on Day 1 - Invest in your future with our competitive retirement savings program.
- Career Growth & Learning - Join a company committed to developing talent, fostering innovation, and creating meaningful opportunities.
At ofi, we don’t just offer jobs-we provide careers built on impact, inclusion, and innovation. Come grow with us!
About the company
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.
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