Description:

Foodsmart is seeking a self-driven Data Scientist to provide insights, predictive modeling, and build the infrastructure for the Health Economics function.
The role involves working closely with the Head of Clinical Data Science to support advanced statistical analyses and interpretation.
Responsibilities include using statistical software (R, Python, etc.) to run analyses on healthcare utilization, engagement data, and claims cost analyses.
The Data Scientist will build out the ontology and standardized data model for claims data.
The position requires exploring statistical learning/machine learning/bayesian methods to predict cost savings and evaluate step therapies and disease progression from claims data.
The role includes writing codes for quantitative associations using regression analyses and causal inference methods.
The Data Scientist will develop methodologies to evaluate cost effectiveness and cost savings from claims data.
Additional tasks include assisting in the automation of codes/analytic processes, cleaning data, conducting quality checks, and creating technical documentation for internal and external stakeholders.

Requirements:

Candidates must have 2-6 years of experience with Healthcare Claims (Medical, Rx) and Eligibility Files.
A minimum of 2-4 years of experience with machine learning, causal inference, and bayesian statistics is required; simulation modeling experience (particularly MCMC) is a plus.
Proficiency in R (tidyverse, caret, xgboost), Python (numpy, pandas, scikit-learn, statsmodel, SciPy), or similar statistical software, as well as SQL, is essential.
Experience with claims analyses and large, real-world datasets is necessary, including merging datasets and cleaning raw data.
An undergraduate or Master's degree in biostatistics, epidemiology, statistics, data science, computer science, health economics, or a related field is required.
A background in public health is considered a plus.

Foodsmart offers a remote-first work environment with unlimited PTO.
The company provides flexible and remote location options, preferably in the NYC area.
Comprehensive healthcare coverage, including medical, dental, and vision, is available.
Employees can benefit from a 401k plan, bonuses, and stock options.
Additional perks include commuter benefits and gym reimbursement.