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Descripción
Before applying to Arkham, please read this essay by our CEO. It helps our customers answer a few core questions: Why should I care? What does this do for my company? How does it work?
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Arkham: AI Transformation, Simplified [3-5 min read]
Reduce costs, boost productivity, and build a new era for your organization with our AI Operating System.
About Arkham
AI is set to transform the way you operate and how your teams work.
But deploying AI models in your operations can be challenging and complex.
Arkham makes it easy and fast.
Our AI Operating System, a suite of seamlessly integrated Data & AI tools, helps our customers unify fragmented systems and solve their toughest operational challenges by leveraging the best AI models—about 5X faster and at a fraction of the cost of internal development.
Our Mission
In 2021, our founding team experienced the upcoming potential of AI but realized it was going to be out of reach for most companies. Legacy systems and fragmented databases limited AI's transformative power for the vast majority of enterprises.
We founded Arkham to solve this problem. Our AI Operating System—a suite of seamlessly integrated Data & AI tools, helps our customers unify their fragmented systems and transform their operations leveraging the best AI models.
In the past year, we've become a trusted partner for enterprises in infrastructure, hospitality, and financial services. With Arkham, they have saved millions in hiring costs and years in development, all while solving their hardest operational challenges and building a foundation to gain a lasting competitive advantage with AI.
Our Clients: Why do they care? What problem do we solve for them?
Our customers struggle with fragmented systems and databases, leading to time-consuming manual processes, limited access to real-time insights and operational controls.
While they recognize AI's potential to solve these challenges, they know they lack the time and internal resources to drive this transformation on their own. This is where we come in. Our AI Operating System and proven implementation method help them unify their data and leverage the best AI models to solve their most critical challenges—about 5X faster and at a fraction of the cost of doing it internally.
From automating complex processes to uncovering growth-driving insights, our customers are implementing groundbreaking use cases across all aspects of their operations with our AI OS (to learn more about our customers' use cases arkham.tech).
Our Product and Service: Unify your data and transform your operations with our AI OS
Generative AI models like Claude, GPT-4o, and Llama 3 offer transformative use cases for your organization. They can analyze expenses, identify anomalies, and automate tasks in minutes instead of days. However, like a new employee, they need secure access to your data and tools to execute meaningful tasks. Arkham's AI Operating System meets these needs through three core elements:
A Highly Scalable Data Platform that unifies fragmented systems and databases into seamless data and knowledge, optimized for AI models.
A Gen AI Platform that transforms leading LLMs into AI agents seamlessly integrated into our applications, accelerating tasks—large or small.
A Machine Learning Platform that enables teams to deploy models like anomaly detection and forecasting, designed to protect your bottom line and optimize operations.
Our seamlessly integrated platforms help your Data, BI, and Operations teams save years in development and deliver transformative value quickly. In just 6-8 weeks, we work with your teams to unify fragmented systems, address high-impact use cases, and set the stage for accelerated AI Transformation.
This fast implementation is driven by our platform's ability to deploy personalized AI agents. Whether it's writing SQL code, analyzing anomaly detection results, or automating financial reports, our AI agents—embedded in every Arkham application—help your teams complete tasks faster. Sometimes 100X faster.
At Arkham, our objective is to empower every role in your organization with transformational AI-powered tools, enabling you to build a new era where productivity and innovation reach new heights.
Forward Deployed Data Scientist
About the Role
Having read the essay above, you'll understand that Arkham has a very specific implementation method. Our implementation teams consist of two key roles: the Forward Deployed Analytics Engineer and the Forward Deployed Data Scientist.
These two roles work closely together to drive the implementation of Arkham's AI Operating System, helping our customers transform their operations in a matter of weeks.
As a Forward Deployed Data Scientist, you are responsible for kickstarting our customers' AI transformation journey. Once their Data Platform is set up in Arkham, you will work hand in hand with them to fully solve their first use case by leveraging our platform's AI capabilities. This process typically involves partnering with our customers' BI, finance, or operations teams, deeply understanding the use case they want to enable, and helping them solve it step by step. Example use cases include:
Assisting complex reporting or analysis processes with prompt engineering
Deploying anomaly detection or forecasting models to optimize operations
Configuring our AI Agent capabilities to simplify data exploration and SQL query generation for Data Engineers
This phase typically takes 2-4 weeks, and by the end of it, our business champion will have their first use case or primary pain point fully resolved. This results in their "aha" moment, turning them into an advocate for our platform and driving accelerated adoption and new use cases within their operations.
Your role bridges the deployment of Machine Learning Models, implementation of Generative AI use cases, and support for customers with Prompt Engineering. You will become an advocate for our AI Operating System, managing 3-4 customer implementations at any given time.
Core Responsibilities:
Client-Focused Solution Design: Collaborate with clients to understand their most critical challenges and develop solution plans leveraging our platform.
Solve the Client's First Use Case: Drive the deployment of Arkham's Data & Applications tools to address our clients' initial use cases. This includes developing data pipelines, implementing advanced analytics, deploying our ML Models, and configuring AI Agents.
Iterative Feedback Loops: Engage in rapid iteration with clients, deploying proofs-of-concept and refining proposed solutions based on feedback.
Lead Client Adoption: Collaborate with clients' IT, Data Engineering, and Analytics teams to ensure effective adoption of our platform.
Business Strategy & Insights: Act as a trusted business advisor to clients, identifying further opportunities for Arkham's platform to drive value. Influence broader strategic decisions through data-driven insights.
Ownership of Project Lifecycle: Lead projects from discovery to long-term follow-up, ensuring that deployed solutions continue to generate sustained impact for our clients.
What We Value:
Entrepreneurial Mindset: Ability to navigate ambiguity, take calculated risks, and lead bold initiatives in dynamic, fast-changing environments.
Passion for AI and Technology: A strong belief in the transformative power of AI and a dedication to applying cutting-edge solutions.
Exceptional Communication Skills: Ability to translate complex technical solutions into clear, business-relevant terms, fostering strong relationships with both clients and internal teams.
Adaptability & Resilience: Thrives in challenging environments, with a proven ability to solve complex problems and deliver results.
What We Require:
Educational Background: A Bachelor's degree in a quantitative field such as Science, Statistics, Computer Science, or a similar discipline.
Mathematical and Statistical Knowledge: A strong foundation in mathematics, particularly in statistical models and techniques.
Experience: 3+ years hands-on experience as a Data Scientist
Technical Skills:
Proficiency with Python and SQL
Experience with forecasting models
Experience with traditional machine learning models, supervised and unsupervised
Experience with Generative AI
Knowledge of AWS cloud platform (Lambda, EC2, Sagemaker, etc)
Proficiency using software version control tools such as GIT.
Experience with data engineering tools (Apache Spark, ETLs development) - Preferred
Business Acumen: Strong ability to translate technical solutions into strategic business outcomes. You must be able to generate insights that go beyond what clients initially expect, providing additional layers of value and anticipating needs they haven't yet identified.
Implementation & Insight Generation: Focus on both deploying solutions and delivering actionable insights that elevate the client's business beyond the scope of the original request. Proactively identify new opportunities for optimization and enhancement using data-driven strategies.
Client Engagement: Exceptional communication and interpersonal skills, with experience in client-facing roles. Able to manage client relationships, drive consensus among stakeholders, and consistently exceed expectations.
Problem-Solving Expertise: Strong analytical mindset with an ability to approach challenges systematically and strategically, leveraging AI and data to solve real-world problems while uncovering hidden opportunities.