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Data Scientist

Confidential Client•Consulting
Entry LevelFull-timeOn-SiteN/A
Chicago, Illinois
8 Days Ago

This entry-level Data Scientist role at Confidential Client targets recent graduates and career switchers seeking to build practical skills in data science, machine learning, and related technologies. The position focuses on bridging the gap between academic knowledge and employer expectations by providing real-world projects and interview preparation to help candidates secure full-time roles in tech companies.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


Overview

Confidential Client is hiring an Associate Data Scientist to join an IT services team in Chicago, IL. This position focuses on entry-level to early-career candidates who want hands-on experience with Python, SQL, analytics, and applied machine learning. You'll work on real data projects, build analytical pipelines, and help deliver data-informed solutions to business stakeholders.


What You’ll Do

  • Analyze and preprocess structured and unstructured data using Python and SQL
  • Build and validate statistical and machine learning models for forecasting, classification, and anomaly detection
  • Develop dashboards and BI reports to communicate results to stakeholders
  • Collaborate with data engineers and cloud teams to productionize models on cloud data platforms
  • Contribute to code reviews, documentation, and reproducible data pipelines
  • Participate in interview-ready project work and assessment activities as required for the role

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field (recent grads welcome)
  • Practical experience with Python (pandas, scikit-learn) and SQL
  • Basic understanding of statistical methods and supervised learning techniques
  • Familiarity with BI tools or visualization libraries (e.g., Tableau, Power BI, matplotlib, seaborn)
  • Strong problem-solving skills and willingness to learn on the job
  • Able to work full-time in Chicago, IL (on-site or hybrid as required by the client)

Preferred / Nice to Have

  • Experience with cloud data platforms (AWS, Azure, or GCP) or data engineering fundamentals
  • Exposure to modern ML tooling, model monitoring, or GenAI workflows
  • Prior internship, capstone project, or coursework applying ML to business problems
  • Good communication skills for translating technical results to non-technical stakeholders

Who Should Apply

This role is a fit for:

  • Recent graduates or early-career candidates in CS, Math, Statistics, or related degrees
  • Career-switchers with foundational technical skills and a portfolio or projects in data science
  • Candidates who have struggled to get interviews and want structured, employer-facing project experience
  • Individuals open to coaching, assessments, and active participation in hiring-readiness programs

Application & Data Use Notice

  • By applying, you consent to Confidential Client and Careertakes reviewing your resume and contacting you about this position or other matching opportunities. Resumes may be shared internally with relevant hiring teams.
  • Careertakes uses equal-opportunity hiring best practices. We do not discriminate based on protected characteristics. If you have questions about data use, contact Careertakes directly.

Employment Details

  • Employment type: Full-time
  • Seniority level: Associate
  • Industry: IT Services and IT Consulting
  • Location: Chicago, IL (onsite/hybrid as specified by our client)

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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