Staff Data Scientist (AI/ML)

Location: Bogota, Colombia / Argentina (Remote Friendly); LATAM - Remote

Company

Robots & Pencils is an applied AI engineering firm that designs and ships AI co-workers integrated into enterprise operations. The company works with clients across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing.

What you will do

• Design, build, evaluate, optimize, and deploy predictive, prescriptive, machine learning, deep learning, and GenAI models for business applications.
• Lead end-to-end ML projects from proof of concept through production across ambiguous, large-scale, and complex engagements.
• Establish scalable and automated processes for data analysis, model development, validation, and serving.
• Run A/B and multivariate experiments, apply causal inference, and measure business impact.
• Translate complex data analysis and scientific results into strategic recommendations for technical and non-technical audiences.
• Set technical direction, research new approaches, mentor junior data scientists, and build reusable tools and processes.

Requirements

• 5+ years of professional experience in data science, statistics, and applied machine learning, including 3+ years building models for business applications.
• PhD, or a Master’s degree with 4+ years of experience, in Computer Science, Computer Engineering, Machine Learning, Statistics, Mathematics, Engineering, or a related quantitative field.
• Deep proficiency in Python or R and strong skills with scikit-learn and TensorFlow or PyTorch, including fluency in models, algorithms, and ontologies.
• Experience programming in Java, C++, or a related language.
• Experience with statistical modeling, time series forecasting, NLP, or optimization.
• Experience in one or more of algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
• Experience designing and analyzing controlled experiments, including A/B testing or uplift modeling.
• Demonstrated success deploying models into production using APIs, pipelines, or ML frameworks.
• Hands-on experience with Databricks, AWS SageMaker, Snowflake, and building and deploying Data Mesh architectures.

Nice to have

• Palantir experience.
• AWS cloud certifications or ML specialty credentials.

Culture & Benefits

• Autonomy over technical direction across client engagements.
• Collaboration with scientists, data engineers, developers, product managers, and business stakeholders.
• Remote-friendly work across Latin America, with delivery centers in Canada, the United States, Eastern Europe, and Latin America.
• Teams average more than 15 years of experience and emphasize ownership, direct feedback, craft, resourcefulness, and continuous learning.