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No Experience Data Science Jobs in Addison, IL (NOW HIRING)

Ulta Beauty, Inc.

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by ... In-depth knowledge and experience with data science and machine learning concepts (e.g ...

KPMG

Data Science Senior Associate

Chicago, IL · On-site

Experience with data science, machine learning methods, and LLM-based solutions and products ... KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

We are looking for someone with 1-2 years of applied data science experience who is eager to lean in, experiment with new approaches, and help shape how advanced analytics drives audience development ...

Publicis Groupe Holdings B.V

Data Scientist

Chicago, IL · On-site

We are looking for someone with 1-2 years of applied data science experience who is eager to lean in, experiment with new approaches, and help shape how advanced analytics drives audience development ...

KPMG

Data Science Senior Associate

Chicago, IL

Experience with data science, machine learning methods, and LLM-based solutions and products ... KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · Remote

... experience in Data Science, Statistics, or other Mathematics . Degree: • Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, Data Science . Certification: N/A . Skills ...

MessageControl

Data Scientist

Chicago, IL · On-site

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

MessageControl

Data Scientist

Chicago, IL

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

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How much do no experience data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for no experience data science in Addison, IL is $122,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What are the most commonly searched types of Data Science jobs in Addison, IL?

The most popular types of Data Science jobs in Addison, IL are:

What are popular job titles related to No Experience Data Science jobs in Addison, IL?

For No Experience Data Science jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching No Experience Data Science jobs in Addison, IL look for?

The top searched job categories for No Experience Data Science jobs in Addison, IL are:

What cities near Addison, IL are hiring for No Experience Data Science jobs?

Cities near Addison, IL with the most No Experience Data Science job openings:

No Experience Data Science jobs near you
Infographic showing various No Experience Data Science job openings in Addison, IL as of August 2026, with employment types broken down into 72% Full Time, 16% Part Time, and 12% Contract. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $122,968 per year, or $59.1 per hour.

Data Scientist

Ulta Beauty, Inc.

Bolingbrook, IL • On-site

$102K - $130K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago

Ulta Beauty rating

6.1

Company rating: 6.1 out of 10

Based on 1,014 frontline employees who took The Breakroom Quiz

12th of 24 rated health and beauty retailers

Job description


OVERVIEW

Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.

We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty.

THE IMPACT YOU CAN MAKE:

This Data Scientist is an integral part of the Data Science and Machine Learning practice within our Enterprise AI team at Ulta Beauty. This team utilizes the power of data science and machine learning techniques to address the diverse business questions and challenges facing Ulta Beauty. As a Data Scientist, you will succeed by mining our rich data assets to develop features, conducting statistical analyses, building DS/ML models, and constructing large scale prediction systems in a fast-paced, data-focused retail environment. The Data Scientist will also act as a subject matter expert, communicating the value and tackling the application of advanced analytics for various use cases with multiple stakeholders across Ulta Beauty. 
YOU'LL ACCOMPLISH THESE GOALS BY:

  • Design and develop data science and machine learning models to optimize operational tactics, marketing messages, and guest experiences, while generating efficiencies across Ulta Beauty
  • In addition to classical statistical methods, research and implement new machine learning approaches and techniques to drive innovative solutions that solve business problems
  • Mine our rich, omnichannel, customer data assets across 1500+ stores, a leading e-commerce platform, and 46M+ Ultamate Rewards loyalty program members to construct analytical solutions that enable data-driven decisions
  • Partner with the AI Engineering and Architecture peers, contributing the Data Science perspective in cross-functional discussions
  • Engage with business and product stakeholders to refine requirements into a concrete, technical scope
  • Explain and present complex analytical approaches and model results in a concise manner to drive alignment and outcomes from business partners
  • Ensure data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration and data audits
  • Continue driving a data-driven culture and contribute to the creation of enterprise AI capabilities and platforms that power Ulta Beauty’s future

ESSENTIALS FOR SUCCESS:

  • 2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
  • Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc.  Equivalent professional experience will be considered.
  • In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
  • Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
  • Hands-on experience designing, deploying, and maintaining machine learning pipelines
  • Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
  • Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
  • Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
  • Passion for broadening your technical skills and diving into unknown problems

 

PREFERRED QUALIFICATIONS:

  • Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP
  • Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
  • Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g., Tensorflow, Torch, etc.)
  • Understanding of causal and uplift models
  • Prior work in retail, e-commerce, or consumer-facing technology environments



The pay range for this position is $102,900.00 - $130,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta

ABOUT

At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full-service salon in every store featuring—hair, skin, brow, and make-up services.

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

Qualifications:

ESSENTIALS FOR SUCCESS:

  • 2+ years of professional experience in data science, machine learning, or analytics functions, with a track record of owning and delivering work in a production environment
  • Advanced degree in a highly quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, etc.  Equivalent professional experience will be considered.
  • In-depth knowledge and experience with data science and machine learning concepts (e.g., multivariate regression, statistical inference, supervised and unsupervised learning, etc.)
  • Proficiency in Python and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy etc.)
  • Hands-on experience designing, deploying, and maintaining machine learning pipelines
  • Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language
  • Demonstrated ability to work effectively both in a team environment and independently by handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude
  • Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations
  • Passion for broadening your technical skills and diving into unknown problems

 

PREFERRED QUALIFICATIONS:

  • Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP
  • Practical experience with CI/CD and MLOps best practices and tools (Git, Airflow, MLflow, Jenkins, etc.)
  • Experience with Apache Spark (PySpark, and Spark ML) and/or deep learning frameworks (e.g., Tensorflow, Torch, etc.)
  • Understanding of causal and uplift models
  • Prior work in retail, e-commerce, or consumer-facing technology environments


Education:UNAVAILABLEEmployment Type: FULL_TIME

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