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

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. Position Summary: Data Science is a driver of significant competitive advantage for ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Alternatively, the employer will accept a Master's degree in Business Analytics, Data Science, Computer Science, or a related field of study and 1 year of experience as a Data Scientist, Data Analyst ...

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

... no one else has dared to tackle. These are the kinds of challenges that stay with you-in the shower ... in data science and software engineering or closely related fields. * Experience building ...

Experience with AWS, SageMaker, or similar cloud-based data science environments. * Experience supporting BI outputs in Tableau, Power BI, Looker, or similar tools. * Familiarity with MLOps best ...

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using ... No H1B candidates, please. * Please mention your Visa Status in your email or resume . ** All your ...

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

Masters or advanced certificate in data analytics preferred. 7-10 years of experience in the data science field; 1-3 years in consulting preferred; 1-3 years in casualty or absence management ...

We are seeking an experienced freelance researcher with advanced skills in data science, research design, and translational research. Reporting to and partnering directly with firm leadership, you ...

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Data Science specific graduate work, Finance sector experience or coursework preferredActs as a resource for colleagues with less experience;May lead small projects with manageable risks and resource ...

Showing results 41-60

No Experience Data Science information

See Addison, IL salary details

$37.6K

$123K

$196.9K

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:

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

Kemper

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Location(s)

Alpharetta, Georgia, Boston, Massachusetts, Charlotte, North Carolina, Chicago, Illinois, Cincinnati, Ohio, Dallas, Texas

Details

Kemper is one of the nation's leading specialized insurers. Our success is a direct reflection of the talented and diverse people who make a positive difference in the lives of our customers every day. We believe a high-performing culture, valuable opportunities for personal development and professional challenge, and a healthy work-life balance can be highly motivating and productive. Kemper's products and services are making a real difference to our customers, who have unique and evolving needs. By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises.

Position Summary:

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible for building and developing analytical solutions, especially in updating existing solutions.

Position Responsibilities:

  • Independentlydesignsanddevelops statistical models andanalytical solutions.
  • Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve recurring analytics needs.
  • Communicates project progress and challenges to the working team.
  • Developsdatabase, technical,and businessknowledge.
  • Documents modeling assumptions, methodology, code, and analytical results clearly and consistently.
  • Participates in model reviews, code reviews, and technical discussions with data science peers.

Position Qualifications:

Minimum Job Requirements

  • Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment.
  • PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related industryexperiencepreferred.

Required Job Skills

  • Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries.
  • Proficiency writing and interpreting SQL queries for data extraction and analysis
  • Solid understanding of statistical modeling and machine learning concepts, including model training, validation, performance evaluation, and interpretation.
  • Hands-on experience with common statistical and machine learning techniques, such as generalized linear models, regularized regression, tree-based models, ensemble methods, clustering, or neural networks.
  • Ability to write readable, maintainable, and well-documented Python code.
  • Experience working with structured datasets from relational databases, delimited files, data frames, and other common data formats.
  • Excellent overall communication skills, particularly possessing the ability to translate technical results for wide audiences.
  • Ability to work independently on defined assignments while seeking guidance appropriately on complex or ambiguous problems.

Preferred Qualifications

  • Experience with time series modeling techniques, such as ARIMA, forecasting, or trend analysis
  • Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical business environment is preferred but not required.
  • Experience with Git, GitLab, or other version control and collaborative development tools.
  • Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments.
  • Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible pipelines, and model deployment.

Other

  • Sponsorship is not accepted for this role
  • This role can be worked hybrid out of Richardson, TX or Alpharetta, GA office. Remote options are available for non-local candidate.
  • The range for this position is $93,300 to $155,200. When determining candidate offers, we consider experience, skills, education, certifications, and geographic location among other factors. This job is eligible for an annual discretionary bonus and Kemper benefits (Medical, Dental, Vision, PTO, 401k, etc.)

Kemper is proud to be an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other status protected by the laws or regulations in the locations where we operate. We are committed to supporting diversity and equality across our organization and we work diligently to maintain a workplace free from discrimination. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles. Kemper does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Kemper and Kemper will not be obligated to pay a placement fee.

Kemper will never request personal information, such as your social security number or banking information, via text or email. Additionally, Kemper does not use external messaging applications like WireApp or Skype to communicate with candidates. If you receive such a message, delete it.

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