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Data Scientist (Brazil)

Scrunch Pty Ltd

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Scrunch is at the forefront of a monumental shift in how people discover and interact with information, ushering brands into an AI-first future. As Large Language Models (LLMs) like ChatGPT, Claude, and Gemini increasingly become the primary interface for users seeking information, the landscape of digital marketing is undergoing its most significant transformation since the inception of the internet. Scrunch empowers marketing teams to navigate this paradigm shift, ensuring their products and services are not just discoverable but strategically positioned within these new AI-driven ecosystems. We are not working against AI; we are working with it, helping brands thrive in this evolving digital world.
• Backed by a substantial $26 million in funding from prominent investors including Mayfield Fund, Decibel, Homebrew, and GTM Capital, alongside contributions from leading Silicon Valley founders and operators, Scrunch has experienced remarkable growth since its commercial launch. Today, our platform is trusted by over 500 paying brands, ranging from Fortune 500 giants like Lenovo and category-defining names such as Skims, to rapidly growing startups like Clerk. This widespread adoption underscores the critical need for our solutions in today's market.
• As a Data Scientist in Brazil, you will play a pivotal role in shaping the future of AI-augmented information retrieval and web visibility. Your work will directly impact how brands are perceived and discovered across both traditional web surfaces and emerging AI-powered platforms. You will be instrumental in building, measuring, and continuously improving the core algorithms and systems that define our product's success.
• This role offers a unique opportunity to delve deep into complex challenges spanning retrieval and ranking, Natural Language Processing (NLP), rigorous experimentation, and the intricate world of knowledge graphs and semantic web systems. You will collaborate closely with cross-functional teams, including Engineering, Product Management, and Marketing, transforming ambiguous business questions into well-defined, measurable projects that result in tangible, shippable product features.
• Your responsibilities will encompass the entire model lifecycle. You will design, prototype, and ultimately productionize sophisticated models and algorithms critical for retrieval, ranking, and ensuring relevance across a diverse range of web and AI-assisted information surfaces. This includes developing robust NLP pipelines capable of performing tasks such as classification, entity extraction, topic modeling, and sentiment analysis, all validated through rigorous offline and online metrics to ensure efficacy and performance.
• A key aspect of your role will be to own the measurement and experimentation framework. This involves formulating hypotheses, meticulously designing experiments, establishing crucial guardrails to ensure system stability and fairness, and delivering clear, actionable readouts that directly inform product and business decisions. You will also develop advanced simulation and modeling frameworks to forecast potential outcomes, test various strategic policies, and stress-test system behavior under a wide array of assumptions and scenarios.
• You will contribute significantly to our knowledge graph and semantic web initiatives, which are foundational to understanding and organizing information. This includes involvement in schema design, entity resolution processes, and the development of downstream Machine Learning (ML) and Generative AI (GenAI) applications that leverage this structured knowledge.
• A crucial part of your contribution will be translating complex technical work into clear, concise narratives for diverse stakeholders. You will articulate technical trade-offs, convey levels of confidence and limitations, and outline clear next steps, ensuring alignment across the organization. Furthermore, where appropriate, you will have the opportunity to contribute to external thought leadership through blog posts, conference talks, or academic papers, enhancing Scrunch's visibility and influence in the AI and marketing tech space.
• We are seeking individuals with strong foundational knowledge in statistics, experimental design, and model evaluation methodologies. Practical, hands-on experience with information retrieval, ranking, and search relevance is essential, particularly within AI-augmented contexts. Proven experience in building and evaluating NLP models, whether in production environments or research settings, is highly valued.
• Proficiency in Python and SQL is a prerequisite for this role, enabling you to effectively manipulate data and implement complex algorithms. Exceptional communication skills are paramount; you must be able to clearly articulate your work, its significance, and your confidence level without resorting to vague explanations. A deep understanding of the web as a system, including the realities of crawling and indexing, domain structures, content organization, and measurement constraints, is also critical.
• We also value candidates who are comfortable working with non-representative datasets and can enhance the trustworthiness of results through sampling-aware analysis, including bias checks, adjustments, and uncertainty quantification. Experience handling noisy or partial labels, long-tailed query distributions, evolving content, and evaluation metrics that blend offline and online signals will be highly beneficial.

🎯 Requirements

• Strong foundations in statistics, experimental design, and model evaluation.
• Hands-on experience with information retrieval, ranking, or search relevance, ideally in AI-augmented contexts.
• Proven experience building and evaluating NLP models in production or research settings.
• Proficiency in Python and SQL.
• Deep comfort with the web as a system (crawl index realities, domains, content structure, measurement constraints).
• Experience working with non-representative data and making results more trustworthy through sampling-aware analysis (bias checks, adjustments, uncertainty).

🏖️ Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Remote work flexibility within Brazil.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative work environment with a mission-driven team.

Skills & Technologies

Python

PostgreSQL

PyTorch

Data Science

Remote

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Scrunch Pty Ltd

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About Scrunch Pty Ltd

Scrunch provides an influencer marketing platform that connects brands with data-verified creators across Instagram, YouTube, TikTok and blogs. The SaaS dashboard offers audience analytics, fraud detection, campaign management and performance tracking to help marketers discover, evaluate and collaborate with influencers. The company targets mid-market to enterprise advertisers and agencies seeking scalable, transparent creator partnerships. Founded in Australia, Scrunch maintains a global database of over 20 million influencer profiles and integrates with major social networks to provide real-time engagement metrics.

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