Data Scientist
JOB TITLE: Data Scientist
DIVISION/DEPARTMENT: Management Consulting
LOCATION: Remote, US
REPORTS TO: Principal Consultant
FLSA STATUS:1099 Independent Contractor
EXPECTED DURATION: February 1, 2026 to November 1, 2026
Objective
The Data Scientist will apply statistical methods, programming skills, and domain knowledge to extract actionable insights from complex datasets. This is a supportive role working closely with a PhD-level with the Lead Data Scientist to assist with all elements of the data lifecycle—from structuring and analysis to model development and visualization tool creation. Assist in creating an opioid-approved research data model for the state of Florida. Responsibilities include data structuring and cleaning, supporting predictive model development, and building visualization tools using R Shiny.
Key Responsibilities
The Data Scientist will:
- Assist the Lead Data Scientist with data structuring and cleaning complex health datasets.
- Support data analysis and predictive modeling using Bayesian methods, Random Forest, etc.
- Develop and maintain data visualization tools using R Shiny for stakeholder consumption.
- Collaborate on model documentation and interpretation of results.
- Ensure compliance with data security and confidentiality protocols.
Education & Certifications
- Master’s degree or higher in a quantitative field (e.g., Statistics, Data Science) or equivalent experience.
- Must pass CITI certification and other required trainings for handling sensitive health data.
Knowledge & Experience
- Proficiency in R and R Shiny; experience with GitHub and CI/CD principles.
- Familiarity with Microsoft Azure services and strong database management skills.
- Understanding Bayesian modeling, machine learning, and AI methodologies.
- Experience in a college or university context required; public health or epidemiological data experience preferred.
Skills & Abilities
- Strong analytical and problem-solving skills.
- Ability to communicate technical results clearly in writing.
- Attention to detail and adherence to open science frameworks.
- Ability to work independently and meet deadlines in a remote setting.
Compensation & work arrangement
- Pay Structure: 1099 Independent Contractor
- Payment Basis: Hourly, paid monthly
- Work Arrangement: Fully remote; must be available for meetings 8:00 AM – 5:00 PM ET, Monday–Friday.
Requiring approximately 20-30 hours per week
Acknowledgement
- Candidates must provide a detailed summary of past relevant projects and a writing sample demonstrating ability to communicate technical results clearly.
This remote Data Scientist role supports a Lead Data Scientist in extracting insights from complex datasets, specifically assisting in creating an opioid-approved research data model for Florida. Key responsibilities include data structuring, cleaning, supporting predictive model development, and building visualization tools using R Shiny. The role requires collaboration on model documentation, ensuring data security, and interpreting results for stakeholders.
Candidates should possess a Master’s degree (or equivalent experience) in a quantitative field, proficiency in R and R Shiny, and familiarity with Microsoft Azure services. Experience in a university setting and with public health or epidemiological data is preferred. Strong analytical, problem-solving, and communication skills are essential, along with the ability to work independently and meet deadlines. A detailed summary of past projects and a writing sample are required for consideration.