Data Scientist-Indianapolis, IN-Remote
Job Title: Data Scientist || Indianapolis, IN || Remote
Summary:
Analyze complex data and build data-driven solutions to generate insights, support decision-making, and improve public health outcomes.
Responsibilities:
• Analyze large datasets and apply statistical/ML techniques
• Develop prototypes, dashboards, and data-driven applications
• Collaborate with stakeholders to translate business needs into solutions
• Optimize data architecture, ETL processes, and reporting
• Mentor junior data scientists and provide technical guidance
• Build and maintain data pipelines and code repositories (GitHub)
• Create visualizations and communicate insights effectively
• Support and enhance existing data solutions
Requirements:
• Bachelor’s + 2+ years / Master’s / 4+ years experience
• Strong programming in Python, R, SQL
• Knowledge of statistics (regression, distributions, tests)
• Experience with machine learning techniques
• Strong data manipulation and analytical skills
• Experience with dashboards/web apps (Shiny, Dash, Flask, Streamlit)
Preferred:
• Experience with geospatial data, Docker, Kubernetes, Neo4j
• Strong visualization and stakeholder communication skills
• Experience in mentoring or leading data initiatives
Summary:
Analyze complex data and build data-driven solutions to generate insights, support decision-making, and improve public health outcomes.
Responsibilities:
• Analyze large datasets and apply statistical/ML techniques
• Develop prototypes, dashboards, and data-driven applications
• Collaborate with stakeholders to translate business needs into solutions
• Optimize data architecture, ETL processes, and reporting
• Mentor junior data scientists and provide technical guidance
• Build and maintain data pipelines and code repositories (GitHub)
• Create visualizations and communicate insights effectively
• Support and enhance existing data solutions
Requirements:
• Bachelor’s + 2+ years / Master’s / 4+ years experience
• Strong programming in Python, R, SQL
• Knowledge of statistics (regression, distributions, tests)
• Experience with machine learning techniques
• Strong data manipulation and analytical skills
• Experience with dashboards/web apps (Shiny, Dash, Flask, Streamlit)
Preferred:
• Experience with geospatial data, Docker, Kubernetes, Neo4j
• Strong visualization and stakeholder communication skills
• Experience in mentoring or leading data initiatives