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# Data Scientist

- **Company:** PROFECTUS, L.L.C.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Files, Data Governance, Relational Databases, Python (Programming Language), Machine Learning, Azure Machine Learning, SAS (Software), SQL Databases, Model Validation, Data Analytics, Performance Monitor, Software Version Control, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/ps06lzaxwb

## About the Role

* Minimum five years in data science or advanced analytics roles
 * Python or R for statistical modelling and machine learning
 * SQL and working with large relational data sets
 * Supervised and unsupervised modelling, including anomaly detection
 * Model validation and performance monitoring
 * Presenting analysis to non-technical stakeholders
 * Working with sensitive or personal information

Desirable Experience

 * Health, claims, payments or welfare data
 * Fraud, compliance or integrity analytics
 * Cloud analytics platforms such as Azure Machine Learning, Databricks or SAS Viya
 * Data linkage and de-identified data sets
 * Tertiary qualification in statistics, mathematics, data science or a related field

Security Clearance Requirements

 * Must be an Australian Citizen
 * Must hold a current AGSVA Baseline Security Clearance (minimum)

Working Arrangements

 * Hybrid
 * Canberra preferred

## Description

* Develop statistical and machine learning models on large administrative data sets
 * Build anomaly detection, risk scoring and predictive models
 * Prepare, clean and engineer features from linked data sources
 * Validate, test and monitor model performance and bias
 * Present findings to program, policy and compliance teams in plain language
 * Build reusable analysis code and notebooks under version control
 * Work with data engineers on data pipelines and model deployment
 * Document methods, assumptions and model limitations
 * Apply privacy, ethics and data governance requirements to analysis work