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Entry Level Data Science Jobs in Deerfield, IL (NOW HIRING)

OFI

Associate Data Science Analyst

Chicago, IL

$71K - $95K/yr

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 ...

Benda Infotech

Data Scientist

Chicago, IL

$70K - $100K/yr

This full-time, on-site position offers a fantastic opportunity for entry-level candidates to dive into the dynamic world of data science and contribute to pioneering projects within the computer ...

Point72

Cubist Quantitative Researcher

Chicago, IL · On-site

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

Lyric

Product Training Associate (Technical)

Chicago, IL · On-site

$80K - $90K/yr

This is an entry-level role for recent graduates with strong technical foundations and a passion ... Build technical training materials covering mathematical modeling, optimization, data science ...

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Entry Level Data Science information

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$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for entry level data science in Deerfield, IL is $19.38, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.78 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Deerfield, IL? The most popular types of Data Science jobs in Deerfield, IL are:
What job categories do people searching Entry Level Data Science jobs in Deerfield, IL look for? The top searched job categories for Entry Level Data Science jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Entry Level Data Science jobs? Cities near Deerfield, IL with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Deerfield, IL as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,300 per year, or $19.4 per hour.
Associate Data Science Analyst

Associate Data Science Analyst

OFI

Chicago, IL

$71K - $95K/yr

Full-time

Retirement, PTO

Posted 3 days ago

Job description

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, 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.

 

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.

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! 

ofi 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, veteran status, or sexual orientation. All employment will be decided on the basis of qualifications, merit and business need. If you need assistance or an accommodation due to a disability, you may contact us for support at: US-Talent.Acquisition@ofi.com 

At ofi, we celebrate our diversity. Olam Americas LLC is proud to be an equal opportunity workplace. 

Note: This 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. 

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