Senior Data Scientist

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
No Travel Required

Skills

Python
PostgreSQL
SQL
Amazon Web Services
Data Science

Job Details

Overview: A leading public education organization is seeking an experienced Senior Data Scientist to provide specialized support for data analytics and reporting initiatives. This role focuses on managing and optimizing PostgreSQL databases hosted on Amazon Web Services (AWS) and enhancing Python-based analytics workflows maintained in GitLab.

The selected consultant will be embedded within the organization s Data Analytics Products scrum team to strengthen capacity for reporting, statistical analysis, and model development.

Background: The organization s Data Team is responsible for collecting, maintaining, analyzing, and safeguarding a broad range of educational data. The team delivers high-quality data analytics products, including:

  • Data exports and analytical reports
  • A public-facing data portal
  • A governed data warehouse
  • Data pipelines and infrastructure

Responsibilities

  • Participate fully within the Agile scrum team, contributing to sprint planning, reviews, retrospectives, and overall team culture.
  • Design, implement, and maintain analytics reports using Python, SQL, and Quarto.
  • Develop statistical models for predictive and counterfactual analyses using methods such as:
    • Ordinary Least Squares
    • Logistic and Probabilistic Unit Models
    • Generalized Additive Models
    • Gradient Boosting and related techniques.
  • Ensure data integrity and security through strong governance practices, including safeguarding all non-public and personal identifiable information (PII).
  • Write unit tests, contribute to CI/CD pipelines, and participate in peer code reviews.
  • Support the continuous improvement of the Data Team s handbook and processes.

Qualifications

  • Minimum of 10 years of professional experience in information technology or data science.
  • Proven expertise in applying statistical methods, machine learning, and data science techniques to practical business or operational challenges.
  • Advanced proficiency in Python and SQL
  • Strong ability to translate complex analytical results into clear visualizations and written reports.
  • Solid understanding of regression modeling, hypothesis testing, and causal inference.

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