Senior Data Scientist – Forward Deployed
Arkham Technologies
full-time
Posted on:
Location Type: Hybrid
Location: Mexico City • Mexico
Visit company websiteExplore more
Job Level
About the role
- 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 that solves 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
Requirements
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ScienceMachine LearningPythonSQLForecasting modelsTime-series modelsGenerative AIPrompt engineeringStatistical modelingOptimization techniques
Soft Skills
Stakeholder managementStrategic advisingProblem framingClient adoptionMentoringInfluencing decisionsContinuous improvementCollaborationTrainingNavigating complex environments