Staff Data Scientist

🔥 0 minutes ago

🌐 Colombia, Argentina – Remote

🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Design, build, and evaluate predictive and prescriptive models across customer behavior, operational efficiency, and personalization • Apply machine learning, deep learning, and statistical techniques to real-world business challenges • Drive end-to-end ML and GenAI projects from proof of concept through production • Build, optimize, and deploy models into production with scientists and software engineers • Establish scalable, automated processes for large-scale data analysis, model development, validation, and serving • Run A/B and multivariate experiments and apply causal inference to validate hypotheses and measure impact • Analyze complex datasets and translate findings into strategic recommendations • Explain scientific methodology and results to technical and non-technical audiences using data visualization • Partner with product managers and business stakeholders to identify opportunities and frame data science solutions • Collaborate with data engineers, analysts, and software developers on scalable data-powered applications • Serve as technical practitioner in AI/ML and lead efforts across teams • Research innovative scientific approaches and bring them into client work • Mentor junior data scientists • Build reusable assets, tools, and processes to increase team velocity and impact

🎯 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, with strong skills in libraries like scikit-learn and TensorFlow/PyTorch, and fluency in models, algorithms, and ontologies • Experience programming in Java, C++, or a related language • Proven track record in statistical modeling, time series forecasting, NLP, or optimization • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing • Experience designing and analyzing controlled experiments, such as A/B testing and uplift modeling • Demonstrated success deploying models into production using APIs, pipelines, or ML frameworks • Hands-on experience with Databricks, AWS SageMaker, and Snowflake • Experience building and deploying Data Mesh architectures • AWS cloud certifications or ML specialty credentials are helpful extras • Palantir experience is a helpful extra