Junior Data Scientist - On-site Chicago, Growth & Learning

benda-infotech

Chicago (IL)

On-site

USD 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Comprehensive benefits

Job summary

Benda Infotech in Chicago is seeking a Junior Data Scientist for an on-site, full-time role. You will analyze data trends, build predictive models, and support data-driven decision-making alongside senior data scientists and cross-functional teams.

The position offers a competitive salary and comprehensive benefits, with opportunities to grow in data science, ML, and analytics within software and engineering projects.

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field.
  • Familiarity with statistical analysis and machine learning concepts.
  • Proficiency in Python or R.
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex data findings clearly.

Responsibilities

  • Collect and preprocess data from various sources for analysis.
  • Assist in building and validating predictive models.
  • Analyze complex datasets to identify trends and insights.
  • Create visualizations to communicate findings effectively.
  • Collaborate with team members to develop data strategies.
  • Participate in the design of data-driven experiments.
  • Support the implementation of machine learning algorithms.
  • Contribute to team presentations and reports based on data analysis.

Skills

Python
R
Tableau
Power BI
Statistical analysis
Analytical thinking

Education

Bachelor's degree in data-related field

Tools

SQL

Job description

Benda Infotech in Chicago is seeking a Junior Data Scientist for an on-site, full-time role. You will analyze data trends, build predictive models, and support data-driven decision-making alongside senior data scientists and cross-functional teams.

The position offers a competitive salary and comprehensive benefits, with opportunities to grow in data science, ML, and analytics within software and engineering projects.

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