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

5+ years of hands-on Data Science experience
Proven track record delivering production-grade ML systems
Experience in client-facing or stakeholder-intensive environments
Advanced proficiency in Python and SQL
Strong experience with forecasting and time-series models
Experience with supervised and unsupervised ML
Hands-on experience with Generative AI and prompt engineering
Familiarity with AI agents and LLM-based workflows
Proficiency with Git and collaborative development workflows
Strong understanding of statistical modeling, optimization techniques, and model evaluation methodologies.
Ability to translate AI systems into strategic and financial outcomes.
Strong stakeholder management skills
Experience driving consensus across IT, Data, and Operations
Ability to navigate complex enterprise environments
You approach problems systematically and strategically, using AI to solve real-world operational challenges while uncovering hidden opportunities.

Senior Forward Deployed Data Scientist

Key skills