Data Scientist: Data-Driven Insights & Visualizations

Coding Mind Academy

Irvine (CA)

On-site

USD 70,000 - 110,000

Full time

9 days ago

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Job summary

Coding Mind Academy seeks a Data Scientist to manage backend databases, document data processes, and analyze program data to improve student outcomes. You will use Python and SQL to debug workflows, build data tools, and collaborate with stakeholders on project requirements.

Proficiency in Python, R, and statistical modeling is highly preferred. You will analyze student performance, develop insights, and create visualizations to present findings to educators and families, supporting data-driven

Qualifications

  • Bachelor’s degree in Data Science, Mathematics or related field.
  • Strong skills in data analysis, statistical modeling, and data visualization.
  • Proficiency with Python and R for data manipulation and modeling.

Responsibilities

  • Maintain backend databases and ensure documentation and data integrity.
  • Debug and process data using Python and SQL; develop data tooling.
  • Meet with stakeholders to define project requirements and scope.
  • Analyze student performance data to generate actionable insights.
  • Create visualizations to communicate findings to students, parents, and staff.
  • Collaborate to implement data-driven strategies and monitor program outcomes.

Skills

Data Analysis
Statistical Modeling
Data Visualization
Machine Learning
Mathematical Modeling
Proof & Logic
Python proficiency
R proficiency

Education

Bachelor’s degree in Data Science or Mathematics

Tools

Python
SQL
R

Job description

Coding Mind Academy seeks a Data Scientist to manage backend databases, document data processes, and analyze program data to improve student outcomes. You will use Python and SQL to debug workflows, build data tools, and collaborate with stakeholders on project requirements.

Proficiency in Python, R, and statistical modeling is highly preferred. You will analyze student performance, develop insights, and create visualizations to present findings to educators and families, supporting data-driven

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