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# Data Scientist - Remote Opportunity

- **Company:** TRENT HOEK OUTDOORS LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 3d Models, Artificial Intelligence, Big Data, Computer Programming, Data Infrastructure, Distributed Computing Environment, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Natural Language Processing, Unstructured Data, Feature Engineering, Deep Learning, Model Validation, AI Platforms, Information Technology, Xgboost, Operational Systems, Machine Learning Operations
- **Published:** October 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pszburwu6q

## About the Role

* Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative discipline.
 * Eight to twelve or more years of experience in data science, statistical modeling, or advanced analytics.
 * Deep expertise in machine learning algorithms, statistical modeling, and predictive analytics methodologies.
 * Strong programming skills in Python, R, or similar analytical languages.
 * Extensive experience working with large, complex datasets in enterprise environments.
 * Demonstrated experience designing and implementing end-to-end modeling pipelines.
 * Strong understanding of model validation, feature engineering, and performance evaluation techniques.
 * Experience collaborating with engineering teams to deploy models into production systems.
 * Ability to communicate advanced analytical concepts to technical and non-technical stakeholders.
 * Demonstrated ability to lead complex analytical initiatives that deliver measurable business value.
 * Strong technical leadership, mentoring, and collaboration skills.

Preferred Qualifications

 * Familiarity with distributed data processing tools and modern data platforms.
 * Experience in insurance, claims management, healthcare, or financial services analytics.

## Description

Sedgwick is seeking a Principal Data Scientist to lead the development and implementation of advanced statistical and machine learning models that improve claims outcomes, operational efficiency, and risk management. The role focuses on complex modeling initiatives, including fraud detection, claims severity prediction, litigation risk, and recovery optimization. You will work with large-scale structured and unstructured data, collaborate with AI Engineering and business teams, and guide the development, deployment, and monitoring of analytical solutions across the organization., * Lead the design and development of advanced statistical and machine learning models to improve claims outcomes, operational efficiency, and risk management.

 * Provide technical leadership for modeling initiatives involving fraud detection, claims severity prediction, litigation risk, and recovery optimization.
 * Develop predictive and prescriptive models using structured and unstructured claims data, including adjuster notes, medical records, and policy documentation.
 * Design modeling approaches using gradient boosting, deep learning, natural language processing, anomaly detection, and probabilistic modeling.
 * Partner with AI Engineering teams to deploy models into production and integrate them with enterprise AI platforms and operational systems.
 * Develop feature engineering strategies and modeling pipelines using large-scale enterprise datasets.
 * Establish best practices for model development, experimentation, validation, and reproducibility.
 * Apply advanced analytical methods, including causal inference, scenario simulation, and risk scoring.
 * Build and maintain model evaluation frameworks to assess accuracy, bias, stability, and business impact.
 * Monitor deployed models for drift, performance degradation, and changes in data distributions, and recommend recalibration strategies.
 * Provide technical guidance to data scientists and analysts across the organization.
 * Mentor junior team members in statistical methods, machine learning techniques, and analytical practices.
 * Translate complex analytical findings into actionable insights for business leaders and operational teams.
 * Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact analytical opportunities.
 * Evaluate external data sources and third-party analytical solutions to strengthen predictive capabilities.
 * Ensure analytical methods align with enterprise governance standards and regulatory expectations.
 * Contribute to Sedgwick's AI and advanced analytics strategy by identifying emerging technologies and modeling approaches.
 * Lead research and innovation initiatives that advance the organization's predictive analytics capabilities.