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Junior Data Scientist Jobs in Elgin, IL (NOW HIRING)

Data Scientist

Chicago, IL · On-site

$95K - $150K/yr

Junior Data Scientist with Data Engineering Skills Seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients analytics and engineering teams. This is an exciting ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Provide mentorship and technical guidance to junior data scientists and machine learning engineers. * Leveraging open-source tools and building frameworks and components to improve and scale our ...

Mentor junior data scientists and analysts, and contribute to best practices across the data science team Required Qualifications * 5-7 years of experience building and deploying production machine ...

Mentor junior data scientists and contribute to best practices in model development and MLOps. * Bachelor's in Computer Science, Data Science, AI/ML, or related field. * 7+ years of experience in ...

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community. Qualifications, Skills and ...

Mentor and guide junior data scientists. * Stay updated with the latest trends in data science. Minimum Qualifications: * 3+ years relevant experience and a Bachelor's degree OR Any equivalent ...

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Showing results 1-20

Junior Data Scientist information

See Elgin, IL salary details

$37.1K

$121.3K

$194.2K

How much do junior data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for junior data scientist in Elgin, IL is $121,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Data Scientist, and why are they important?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects do Junior Data Scientists typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What are Junior Data Scientists?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Scientist jobs in Elgin, IL? The most popular types of Data Scientist jobs in Elgin, IL are:
What are popular job titles related to Junior Data Scientist jobs in Elgin, IL? For Junior Data Scientist jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Junior Data Scientist jobs in Elgin, IL look for? The top searched job categories for Junior Data Scientist jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Junior Data Scientist jobs? Cities near Elgin, IL with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Elgin, IL as of May 2026, with employment types broken down into 11% Full Time, 69% Part Time, 18% Contract, and 2% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $121,328 per year, or $58.3 per hour.
Data Scientist

Data Scientist

SynergisticIT

Chicago, IL • On-site

$95K - $150K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Junior Data Scientist with Data Engineering Skills

Seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients analytics and engineering teams. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about data, machine learning, and building scalable data pipelines. You will work on projects that combine data science, data engineering, and DevOps practices to deliver actionable insights and enterprise-grade solutions for U.S.-based clients.

Responsibilities
  • Collect, clean, and preprocess large datasets for analysis and modeling
  • Build and maintain ETL pipelines and scalable data workflows
  • Develop predictive models and machine learning algorithms
  • Collaborate with DevOps teams to deploy models into production environments
  • Work with cross-functional teams to translate business requirements into technical solutions
  • Optimize data storage and retrieval using SQL/NoSQL databases and cloud platforms
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
  • Strong knowledge of Python, SQL, and data manipulation libraries (Pandas, NumPy, Scikit-learn)
  • Familiarity with data engineering tools such as Spark, Hadoop, or Kafka
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Understanding of DevOps practices for model deployment
  • Excellent problem-solving and communication skills
Additional Skills
  • Experience with deep learning frameworks (TensorFlow, PyTorch)
  • Knowledge of data visualization tools (Tableau, Power BI, Matplotlib, Seaborn)
  • Internship or project experience in data science or data engineering
Client Requirements

Our U.S.-based clients typically require:

  • Real-world project experience : Hands-on exposure to enterprise-level data science and engineering projects beyond academic coursework.
  • U.S. work experience : Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Don't Have All the Skills Yet?

If you're passionate about becoming a Data Scientist but lack some of the required skills or U.S. project experience, you can explore SynergisticIT's Job Placement Program. This program provides:

  • Hands-on training in Data Science, Data Engineering, Cloud, and DevOps
  • Real-world project simulations to build client-ready experience
  • Interview preparation and career coaching

You can also explore additional resources:

  • SynergisticIT Blog – Career guides, BI best practices, and industry insights
  • SynergisticIT Interview Questions – Sample questions and preparation tips
Explore SynergisticIT's Industry Presence

SynergisticIT actively participates in global tech events, showcasing its strong industry connections:

  • SynergisticIT at Gartner Data and Analytics Summit – Highlights key trends in BI, governance, and analytics adoption.
  • SynergisticIT @ Oracle CloudWorld – Demonstrates SynergisticIT's role in shaping enterprise cloud analytics.
  • Oracle CloudWorld Event – Showcases innovation in BI and data engineering.
  • Oracle CloudWorld Event – Provides continuity of SynergisticIT's presence in global analytics events.
Featured in USA Today

SynergisticIT has been recognized in USA Today for transforming how tech companies source and train talent.

Competitive Edge with SynergisticIT
  • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
  • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.
About SynergisticIT

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers and data scientists have been placed include: Google, Apple, Facebook (Meta), Amazon, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. If you're ready to launch your career as a Junior Data Scientist with Data Engineering skills but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.