Staff Data Scientist

Staff Data Scientist

US - Remote; Canada - Remote

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.

We've earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.

Position Overview

We're looking for a Principal Data Scientist to join a multi-disciplinary team focused on designing and implementing scalable and reliable approaches to support or automate decision making throughout the business. This role is ideal for an experienced data scientist who can apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.

In this role, you will acquire data by building the necessary SQL / ETL queries and import processes through various company specific interfaces for accessing S3, RedShift, and Spark storage systems. You'll build relationships with stakeholders and counterparts, analyze data for trends and input validity, and implement models that comply with evaluations of computational demands, accuracy, and reliability.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You'll Do

Craft & Delivery

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business
• Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear
• Acquire data by building the necessary SQL / ETL queries and import processes through various company specific interfaces for accessing S3, RedShift, and Spark storage systems
• Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies
• Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks
• Validate models against alternative approaches, expected and observed outcomes, and other business defined key performance indicators
• Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production
• Implement and deploy state of the art machine learning algorithms under Gen AI, build prototypes, troubleshoot customer issues, and explore new solutions
• Interact closely with customers and with the academic community to drive innovation and deliver tailored data science solutions

Collaboration & Communication

• Build relationships with stakeholders and counterparts to understand business needs and translate them into data science solutions
• Collaborate closely with engineering, analytics, AI, and product teams to align data science models and insights with broader business goals
• Communicate findings and model results clearly to non-technical executive audiences, ensuring insights are actionable and understood

Leadership & Influence

• Establish data science best practices and modeling standards that lift the quality and consistency of analytical work across the team
• Mentor junior and mid-level data scientists, helping them grow their craft, confidence, and impact
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to deliver higher-quality work at pace

What You'll Bring

• 10+ years of data scientist experience with a proven track record of solving complex business problems through data science
• Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
• 2+ years of hands-on experience with generative AI technology
• 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning (Will help Win Predictor Use case)
• 5+ years of hands on experience with Python to build, train, and evaluate models
• Customer facing experience
• Excellent communications skills with non-technical executive audiences, with the ability to translate complex models and findings into clear, actionable insights
• Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
• Experience with statistical models (e.g., logistic regression, supervised learning approaches) and a solid foundation in machine learning methods
• Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor
• Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment
• Experience with advanced machine learning frameworks and cloud-based data science platforms is a plus

Helpful Extras and Unique Skills

• Experience with handling and modeling data in the healthcare industry is a plus
• AWS certifications, like Certified Data Engineer – Associate, strongly preferred
• Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
• Experience building generative AI applications on AWS using services such as Amazon Bedrock, Amazon Bedrock AgentCore and Amazon SageMaker
• Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
• Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
• Experience with open source frameworks for building applications powered by LLMs like Strands, LangChain, LlamaIndex.
• Hands on experience building cloud applications

You'll Do Well Here if You Are

• A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
• A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
• Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
• Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
• Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
• All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
• Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
• Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.