Associate Data Science Analyst

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 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.
• Aid in 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.
• Aid 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.

Position 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

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.