Data Scientist

Coding Mind Academy; Irvine (CA); On-site; USD 70,000 - 110,000; Full time

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

Job Description

We are seeking a dedicated Data Scientist to manage and maintain backend databases, ensuring seamless documentation and data analysis processes. The role involves utilizing Python and SQL to debug and process data, conducting meetings with stakeholders to define project requirements, and creating tools like spreadsheets and databases to support project goals. Additionally, the candidate will analyze student performance data, develop insights to improve program effectiveness, and create visualizations to communicate findings. Collaboration with colleagues to implement data-driven strategies and continuous program evaluation are key responsibilities. Proficiency in Python, R, and statistical modeling is highly preferred.

Job Description

We are seeking a dedicated Data Scientist to manage and maintain backend databases, ensuring seamless documentation and data analysis processes. The role involves utilizing Python and SQL to debug and process data, conducting meetings with stakeholders to define project requirements, and creating tools like spreadsheets and databases to support project goals. Additionally, the candidate will analyze student performance data, develop insights to improve program effectiveness, and create visualizations to communicate findings. Collaboration with colleagues to implement data-driven strategies and continuous program evaluation are key responsibilities. Proficiency in Python, R, and statistical modeling is highly preferred.

Responsibilities

• Maintain the company\'s backend database and be responsible for preparing and maintaining project documentation, including spreadsheets, analysis tools,databases, and forms.
• Execute debug reporting for data processing problems using Python and SQL.
• Collect data and conduct meetings with customers to define project scope, user requirements, and project goals.
• Collect and analyze data on student participation to gain insights into the effectiveness of educational programs, and track student progress and performance over time to identify patterns and trends.
• Collaborate with colleagues to develop and implement data-driven strategies for improving program effectiveness.
• Create data visualizations that communicate insights from program data to students and parents.
• Continuously monitor and evaluate program effectiveness through data analysis and utilize data analysis techniques to identify key factors influencing program outcomes, including curriculum, teacher training, and student support.

Requirements

• Bachelor’s degree in Data Science, Mathematics.
• Knowledge of Mathematical Proficiency, Data Analysis, Statistical Modeling,Data Visualization, Mathematical Modeling and Machine Learning.
• Proficiency in mathematical proofs and logical reasoning, Python and R for data manipulation.