Arkham Technologies

Data Scientist

• Lead High-Impact AI Deployments
• Architect and deploy forecasting, optimization, clustering, and anomaly detection models
• Design and productionize Generative AI workflows
• Implement AI Agents that automate analysis and operational decisions
• Establish best practices for model monitoring, retraining, and governance
• Own the First “Aha” Moment
• Within 2–4 weeks, deliver a fully operational AI solution solving a core business pain point
• Design End-to-End Solutions
• Define data requirements and modeling strategies
• Guide data pipeline development in collaboration with Analytics Engineers
• Ensure scalability, performance, and robustness of deployed systems
• Act as a Strategic Advisor
• Translate AI capabilities into P&L impact
• Challenge client assumptions and refine problem framing
• Identify adjacent opportunities for optimization and AI expansion
• Influence executive-level decisions with data-driven insights
• Lead Client Adoption & Enablement
• Train technical and business teams on Arkham’s AI capabilities
• Establish feedback loops for continuous improvement
• Drive long-term AI maturity inside client organizations
• Elevate Arkham’s Implementation Standards
• Contribute reusable frameworks and modeling templates
• Improve internal best practices for ML deployment and GenAI integration
• Mentor junior Data Scientists and Analytics Engineers

Senior Forward Deployed Data Scientist