Senior Forward Deployed Data Scientist

Arkham Technologies

Senior Forward Deployed Data Scientist driving AI transformation for strategic customers. Leading AI deployments and influencing executive strategy at Arkham's clients.

Posted 6/4/2026full-timeMexico City • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Arkham Technologies Website LinkedIn All Job Openings 11 - 50 employees 🤖 Artificial Intelligence 🤝 B2B ☁️ SaaS Artificial Intelligence
B2B
SaaS Arkham Technologies is a technology company specializing in the development and deployment of an AI Operating System designed to unify data and transform operations across various industries. Their integrated platforms enable businesses to consolidate fragmented systems, automate operations, and deploy advanced AI models to solve complex challenges. Arkham's solutions focus on enhancing productivity and efficiency, supporting asset management, democratizing business intelligence, automating financial operations, and providing real-time anomaly detection. Trusted by industry leaders, Arkham Technologies empowers their clients to achieve breakthroughs, innovate rapidly, and secure a competitive advantage. Senior Forward Deployed Data Scientist 🔥 56 minutes ago 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 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. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Clinical Data Science Lead 🔥 10 hours ago ICON plc 10,000+ employees 💊 Pharmaceuticals 🧬 Biotechnology ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Clinical Data Science Lead overseeing clinical data review activities in a global clinical research organization focusing on timely data delivery. Collaborating with cross-functional teams and ensuring high-quality data fit for analysis. 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Principal/Senior/Mid - Data Scientist 🕒 March 31 AILY LABS 201 - 500 🤖 Artificial Intelligence ⚡ Productivity 🤝 B2B Website LinkedIn All Job Openings Data Scientist developing AI-driven features in a B2B SaaS company. Focusing on delivering actionable insights through advanced machine learning and analytics. 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Data Scientist 🕒 March 19 Jellyfish 1001 - 5000 📱 Media 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Data Scientist leveraging analytics for Jellyfish's investment analytics team, providing data-driven insights and predictive modeling for marketing effectiveness. Collaborating on complex data solutions to enhance client outcomes. 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Principal – Data Scientist 🕒 March 10 AILY LABS 201 - 500 🤖 Artificial Intelligence ⚡ Productivity 🤝 B2B Website LinkedIn All Job Openings Data Scientist at Aily Labs building AI-driven features and insights for enterprises. Collaborating with teams to solve business-related challenges using AI and machine learning. 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟠 Senior 📊 Data Scientist Data Scientist 🕒 December 17, 2025 CIAL Dun & Bradstreet 201 - 500 🤝 B2B ☁️ SaaS 📋 Compliance Website LinkedIn All Job Openings Data Scientist leading strategic data science projects at CIAL Dun & Bradstreet. Driving automation and predictive modeling to enable better business decisions. 🏢🏡 Mexico City – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Data ScienceMachine LearningPythonSQLGenerative AIForecasting modelsTime-series modelsStatistical modelingOptimization techniquesModel evaluation methodologies

Soft Skills

Stakeholder managementStrategic advisingProblem framingClient adoptionMentoringInfluencing decisionsContinuous improvementCollaborationTrainingNavigating complex environments