Robots and Pencils - Data Architect

• 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 disciplines such as Computer Science, Statistics, Mathematics, or Engineering. • Experience with tools such as Databricks, SageMaker, and Snowflake is essential. • Experience of Palantir would be an advantage. • AWS cloud certifications or ML specialization credentials are an advantage. • Core Competencies • Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically. • Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy. • Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy. • Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes. • Communication – Explains technical results clearly and persuasively to diverse audiences. • Team Collaboration – Works effectively across functions and time zones; contributes to a culture of openness and shared learning.