Senior Forward Deployed Data Scientist

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 RequireExperience

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.