Data Architect

Brief Summary of Work

At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights.

This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions.

About You

You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle.

Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers.

What You’ll Do

• Modeling & Advanced Analytics
  • Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
  • Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
  • Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
• Data Exploration
  • Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
  • Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
  • Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
• Partnership & Enablement
  • Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
  • Mentor junior data scientists, supporting technical development and scientific rigor.
  • Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

Qualifications & Experience

• 7+ years of professional experience in data science, statistics, and applied machine learning.
• Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.
• Building and deploying Data Mesh architectures.
• Strong experience in AWS tools and infrastructure and cloud AI and data tools essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage.
• Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.
• Proven track record in statistical modeling, time series forecasting, NLP, or optimization.
• Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).
• Background in quantitative analysis.