Junior Data Scientist
The Junior Data Scientist at Confidential Client is responsible for collecting, cleaning, and analyzing data to generate actionable business insights. The role involves developing basic machine learning models, performing exploratory data analysis, and collaborating with senior data scientists and cross-functional teams to support data-driven decision making.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by Confidential Client, IT Services and IT Consulting, Data Infrastructure and Analytics, Software Development.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is looking for a motivated, analytical Junior Data Scientist to join their Chicago analytics team. This is an entry-level, full-time role ideal for someone with a strong foundation in Python, SQL, statistics, and basic machine learning who wants to grow with experienced data scientists and cross-functional partners.
- Collect, clean, preprocess, and analyze structured and unstructured datasets
- Perform exploratory data analysis to find patterns, trends, and actionable insights
- Build, train, validate, and evaluate basic machine learning models
- Write efficient SQL queries to extract and manipulate data from production databases
- Help identify and resolve data quality issues; recommend improvements to data collection and pipelines
- Produce clear visualizations and summaries for technical and non-technical stakeholders
- Assist senior data scientists on predictive and statistical modeling projects
- Stay current with data science tools and best practices
What We’re Looking For
Minimum qualifications — candidates who will succeed in this role typically have:
- Good knowledge of Python and common data libraries (pandas, numpy, scikit-learn)
- Understanding of SQL and database concepts
- Basic knowledge of statistics and probability
- Familiarity with common machine learning algorithms and EDA techniques
- Experience with data cleaning and preprocessing workflows
- Strong analytical thinking, problem-solving, and clear communication skills
- Bachelor’s degree in a quantitative discipline or equivalent practical experience
- Entry-level or internship experience in data analysis or data science preferred
Nice to Have / Preferred
- Experience with data visualization tools (e.g., matplotlib, seaborn, plotly, or BI tools)
- Exposure to version control (git) and collaborative development practices
- Coursework or projects applying supervised learning models
- Familiarity with cloud data platforms or basic data engineering concepts
Location & Work Authorization
This role is based in Chicago, IL. Candidates must be eligible to work in the United States. Reasonable accommodations are available for applicants with disabilities during the recruitment process.
Why Join
- Learn alongside experienced data scientists on real-world projects
- Gain hands-on experience in data cleaning, modeling, and communicating results
- Opportunities for professional growth within a Confidential Client operating in IT services, analytics, and software development
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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