Dicetek LLC
Linkedin · Posted 3mo ago
Data Scientist
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Indexed description
- Develop, validate, and deploy advanced machine learning, statistical, and AI models (descriptive, predictive, prescriptive, supervised, and unsupervised) to support strategic, operational, and policy decision making across the organization.
- Engage with clinical, business, and cross unit stakeholders to understand needs, identify opportunities, and frame, prioritize, and deliver high impact analytics and data science driven use cases.
- Conduct exploratory data analysis, feature engineering, and advanced analytics on structured and unstructured healthcare and administrative data to generate actionable insights, scenarios, and forecasts.
- Collaborate closely with Data Engineering, platform, and architecture teams to ensure reliable, secure, high quality data pipelines and seamless operationalization of analytical models into production systems.
- Work with Data Governance, Privacy, Security, and Quality teams to ensure compliance with health data regulations, ethical AI principles, data standards, and internal policies.
- Design and execute robust model evaluation and validation processes, including hypothesis testing, bias and fairness assessments, A/B testing, sensitivity analysis, and ongoing performance monitoring.
- Conduct market and technology scanning to stay current with emerging data science trends, tools, and healthcare analytics innovations, and assess their relevance and potential value to the organisation
- Lead research efforts to explore new data sources, analytical techniques, and AI tools, and provide strategic guidance on adopting data driven innovations that enhance organizational outcomes.
- Translate complex analytical results into executive ready insights, dashboards, policy briefs, and presentations to support leadership, planning, and evidence based decision making.
- Serve as a thought leader by contributing to internal capability building, mentoring, knowledge sharing, and representing the organization through presentations, publications, or analytical forums when appropriate
- Undertake all duties and responsibilities reasonably required and aligned with the data management & governance.
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