Data Scientist II/III

Jobtailor; Madison (WI); On-site; USD 95,000 - 130,000; Full time

Job summary

Jobtailor in Madison, Wisconsin is seeking a data scientist focused on health-related applied research. You will compose reproducible workflows, prepare datasets, and document approaches to address research questions.

The role emphasizes independent application of data science techniques, including visualization, statistics, machine learning, and data mining, with emphasis on building reproducible analyses and automating data preparation.

Qualifications

• At least five years of relevant experience in health-related applied research, statistics, and analytics.
• Advanced proficiency with Python and R.
• Experience using and managing workflows in open-source platforms like GitHub, for version control, code management and collaboration.
• Proficiency in interactive web dashboards and applications built with tools such as Shiny, Quarto, Streamlit or Dash for visualizing and disseminating data.
• Experience manipulating and analyzing a variety of datasets including, national mortality, community health, health indicators and outcomes, including non-traditional data sources such as (grassroots reporting/social media mining).
• Experience developing analytic approaches to support continued improvement of data management, analysis, visualization and presentation, including the development of data quality frameworks.

Responsibilities

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• Organizes and automates project steps for data preparation and analysis

Skills

Python

R

GitHub

Shiny

Quarto

Streamlit

Dash

Data visualization

Data cleaning/QA

Workflow automation

Tools

GitHub

Shiny

Quarto

Streamlit

Dash

Job description

• Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators


• Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources


• Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows


• Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining


• Organizes and automates project steps for data preparation and analysis

Requirements

• At least five years of relevant experience in health-related applied research, statistics, and analytics.


• Advanced proficiency with statistical software and programming languages, specifically Python and R.


• Experience using and managing workflows in open-source platforms like GitHub, for version control, code management and collaboration.


• Proficiency in interactive web dashboards and applications built with tools such as Shiny, Quarto, Streamlit or Dash for visualizing and disseminating data.


• Experience manipulating and analyzing a variety of datasets including, national mortality, community health, health indicators and outcomes, including non-traditional data sources such as (grassroots reporting/social media mining).


• Experience developing analytic approaches to support continued improvement of data management, analysis, visualization and presentation, including the development of data quality frameworks.

Core Competencies

Demonstrates advanced proficiency in statistical analysis and programming with Python and R, alongside expertise in data visualization and workflow management. Capable of developing reproducible research methodologies and automating data preparation processes to support health-related applied research.

Tools & Technologies

• GitHub


• Shiny


• Quarto


• Streamlit


• Dash