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Associate Data Science Analyst Jobs in Illinois (NOW HIRING)

Associate Data Science Analyst

Chicago, IL ยท On-site

$71K - $95K/yr

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 ...

Bachelors Analytics, Engineering, Statics or related. * 4+ years Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related Bonus Points If You ...

Avant is adding to our Data Science team! We are looking for a self-driven candidate who is ... Mine and analyze data from company databases to drive optimization and improvement of product ...

Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting * Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

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Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
Associate Data Science Analyst

Associate Data Science Analyst

OFI

Chicago, IL โ€ข On-site

$71K - $95K/yr

Full-time

Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description

We are a global leader in food & beverage ingredients.ย 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 weโ€™re with, whatever weโ€™re doing, we alwaysย 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 requiredย 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.

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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.

ofiย provides employees with a comprehensive & competitive benefits package that is designed to support your career, health, and future. A Rewarding Career Awaits!ย ย ย ย 

The pay for this roleย ranges from $71,000 to $95,000 annually and is based onย the positionย responsibilities and geographic location. Actual pay within this range may be determined based on the candidate's experience, qualifications, and/or other determining factors.ย ย 

Performance-based Bonuses:ย Discretionary bonus rewarding company performance as well as your contributions and impact,ย for eligible roles.ย 

Comprehensive & Affordable Benefits:ย Coverage for youย (and yourย eligible dependents)ย with plans designed for peace of mind and savings for the future.ย 

A Culture of Well-being:ย Paid Volunteer time off, access toย events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being for you and your family.ย 

Family Support:ย Paid parental leave,ย Fertility benefits and lactation support, including milk shipping for traveling employees.ย 

Additional Perks That Make a Difference:ย 

  • Vacation time from Day 1ย โ€“ Your time off starts accruing immediately, growing with your tenure.ย 
  • Paid Sick Leaveย โ€“ย ย ย Rest, recover, and return strong โ€“ with paid sick leave on ofi.ย 
  • Company Paid Holidaysย โ€“ย ofiย values work-life balance and the importance of celebratingย lifeโ€™s special moments.ย 
  • 401K Match on Day 1ย โ€“ Invest in your future with our competitive retirement savings program.ย 
  • Career Growth & Learningย โ€“ Join a company committed to developing talent, fostering innovation, and creating meaningful opportunities.ย 

Atย ofi,ย we donโ€™t just offer jobsโ€”we provide careers built onย impact, inclusion, and innovation.ย Come grow with us!ย 

ofiย provides equality of opportunity for all persons with respect to hiring without discrimination on the grounds of race, color, religion, national origin, sex, pregnancy, age, disability,ย veteran status,ย or sexual orientation.ย All employment will be decidedย on the basis ofย qualifications, merit and business need. If you need assistance or an accommodation due to a disability, you may contact us for support at:ย US-Talent.Acquisition@ofi.comย 

Atย ofi, we celebrate our diversity. Olam Americasย LLCย is proud to be an equal opportunity workplace.ย 

Note:ย Thisย job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.ย