Senior Data Scientist, IT

This is a fully remote position, open to applicants in Florida, +4 more states.

📋 Description

• Designs and develops scalable solutions leveraging AI tools and machine learning models.

• Conducts research and testing to create machine learning algorithms and predictive models.

• Employs big data computation and storage tools to develop prototypes and datasets.

• Executes model training and evaluation processes.

• Integrates, tests, fine-tunes, and monitors solutions.

• Engages in model brainstorming discussions with prospective internal clients interested in AI/ML capabilities.

• Collaborates with internal clients requesting AI/ML capabilities to comprehend overall business objectives and impacts.

• Analyzes use cases for ML algorithms and applies insights to facilitate business decisions.

• Writes moderately complex SQL and Python/R code to extract data from diverse databases and data sources.

• Explores and visualizes data to understand and validate data quality.

• Conducts exploratory data analysis from complex data sets and builds essential data sets to support operational analysis.

• Constructs ML/AI models using prevalent methods in R and Python.

• Evaluates ML algorithms that could address a problem and ranks them based on success probability.

• Investigates model errors and devises strategies to mitigate them.

• Develops logging, alerting, and mitigation strategies for managing model errors.

• Creates AI/ML models to identify relevant content or events and recognize patterns.

• Designs and builds AI/ML models aimed at predicting member outcomes.

• Assesses and designs experiments to monitor key model metrics and pinpoint opportunities for improvement.

• Participates in presentations and conveys research analysis findings to non-technical business stakeholders.

• Produces fairness reviews for each model to ensure they are free of bias.

• Establishes CI/CD pipelines for model automation.

• Manages model deployment using containers like Kubernetes and Docker.

• Generates clean and readable code that has been thoroughly unit tested and optimized.

⛳️ Requirements

• A Bachelor's degree in a quantitative or business-related field (e.g., statistics, mathematics, engineering, computer science).

• A minimum of 4 to 6 years of relevant experience is required.

• 4+ years of intermediate knowledge and experience with SQL is essential.

• 4+ years of experience in developing Machine Learning/AI/Predictive models using R or Python is mandatory.

• 4+ years of intermediate knowledge of Git is required.

• Experience with the Databricks Platform is preferred.

🏝️ Benefits

• Competitive pay

• Health insurance

• 401K and stock purchase plans

• Tuition reimbursement

• Paid time off plus holidays

• Flexible work arrangements including remote, hybrid, field, or office schedules