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Data Scientist - Law Enforcement Analytics & Program

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Key skills for this role

TensorFlowPyTorchScikit-learn

Translate business challenges into clear, actionable requirements for AI-enabled solutions
Map end-to-end business processes, highlighting areas where AI can drive efficiency and value
Design, build and implement AI automations
Develop and deploy solutions and AI prompts to identify and address bottlenecks, replacing manual interventions with intelligent automation
Create scalable automation mechanisms that proactively monitor, analyze, and report
Build robust predictive models using statistical and machine learning techniques to forecast risks, anticipate issues and optimize
Develop monitoring tools to trigger early warnings and facilitate rapid resolution through automation
Acts as a data subject matter
Formulate the right metrics, measures, and definitions of success to drive quality, efficiency, cost, and timeliness understanding the source data
Perform complex data analysis leveraging data streams available to drive proactive and predictive action
Partner with operational analysts, investigators, and engineering partners to understand pain points, identify repetitive tasks, and translate them into opportunities for automation
Bring multiple areas of business and engineering together via a common reliable foundation of common data, metrics, and insights
Build data tables and dashboards, and leverage these for interpreting incidents and trends
Leverage tools like Tableau, Python, and SQL to drive efficient analytics

6+ years of experience in analytics, engineering, and use of AI/ML
6+ years of SQL development experience and scripting language like Python
Hands-on experience with AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn) and automation tools/platforms
Experience with data visualization tools and leveraging data models to drive business decisions

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