Summary: This senior role involves leading AI transformation for strategic customers, combining AI architecture, executive advisory, and high-stakes implementation to deliver impactful solutions. Highlights: 1. Lead high-impact AI deployments and strategic advisory for key clients. 2. Drive AI transformation and build long-term AI capability inside enterprises. 3. Architect robust ML and GenAI solutions with executive-level communication. **Senior Forward Deployed Data Scientist** About Arkham: Arkham is a Data \& AI platform that helps large enterprises: * Unify fragmented systems and data * Build a single source of trusted operational metrics * Solve complex challenges with AI tailored to their operations Teams at **Circle K and Kimberly\-Clark** **partner** with us to deploy AI\-powered solutions for sell\-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high\-impact results fast, creating a strong foundation for long\-term AI transformation. Know more about Arkham: * Our website * Youtube Channel * Medium blog **About the Role** Our implementation model is built around two core roles: * Forward Deployed Analytics Engineer * Forward Deployed Data Scientist As a **Senior Forward Deployed Data Scientist**, you lead the AI transformation journey for our most strategic customers. This is not just a modeling role. You operate at the intersection of AI architecture, executive advisory, and high\-stakes implementation. Once a customer’s Data Platform is live in Arkham, you take ownership of delivering and expanding high\-impact AI use cases. You partner directly with BI, Finance, Operations, and executive stakeholders to: * Define high\-leverage AI opportunities * Architect robust ML and GenAI solutions * Deploy production\-ready systems * Drive executive alignment and long\-term adoption You will typically manage 1–6 implementations simultaneously, serving as the senior AI lead and trusted advisor. **What You’ll Work On****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, you will deliver a fully operational AI solution that solves a core business pain point. This creates internal momentum, executive buy\-in, and accelerated expansion across use cases. **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 **What We Value****Strategic \& Entrepreneurial Mindset** You thrive in ambiguity and take ownership beyond your scope. You think like a builder, not just an executor. **Deep AI Conviction** You believe AI fundamentally reshapes enterprise operations—and you want to be at the frontier of that transformation. **Executive\-Level Communication** You can explain complex models to a CFO, debate trade\-offs with a Head of Operations, and collaborate seamlessly with technical teams. **Systems Thinking** You understand that real impact comes from integrating data, workflows, incentives, and AI—not just deploying models. **What We Require****Experience*** 5\+ years of hands\-on Data Science experience * Proven track record delivering production\-grade ML systems * Experience in client\-facing or stakeholder\-intensive environments **Technical Expertise*** 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 **Mathematical \& Statistical Foundation** Strong understanding of statistical modeling, optimization techniques, and model evaluation methodologies. **Business Acumen** Ability to translate AI systems into strategic and financial outcomes. You proactively surface insights beyond the original scope and identify new value levers. **Client Leadership*** Strong stakeholder management skills * Experience driving consensus across IT, Data, and Operations * Ability to navigate complex enterprise environments **Problem\-Solving Expertise** You approach problems systematically and strategically, using AI to solve real\-world operational challenges while uncovering hidden opportunities. **Why This Role Is Different*** You don’t just build models—you drive transformation. * You don’t just deploy solutions—you influence strategy. * You don’t just deliver a PoC—you build long\-term AI capability inside enterprises. This is a senior role with real ownership, real visibility, and real impact. If you want to operate at the frontier of AI in enterprise operations—and work directly with ambitious teams solving meaningful problems—we’d love to meet you.