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Data Scientist

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 interact with information, moving from traditional web search to AI-first discovery powered by Large Language Models (LLMs). We are a rapidly growing, venture-backed startup on a mission to guide brands through this transition, ensuring they are discoverable and understandable within AI platforms like ChatGPT, Claude, and Gemini. This evolution represents the most significant change in marketing since the internet's inception, and Scrunch is enabling brands to thrive in this new landscape. With substantial backing from prominent investors including Mayfield Fund, Decibel, Homebrew, and GTM Capital, and support from leading Silicon Valley founders and operators, Scrunch has experienced remarkable growth since its commercial launch. Today, over 500 paying brands, ranging from Fortune 500 giants like Lenovo and category-defining names like Skims to innovative startups such as Clerk, rely on our platform to navigate the AI-driven future.
• As a Data Scientist at Scrunch, you will play a pivotal role in shaping the future of AI-augmented information retrieval and web visibility. You will be instrumental in building, measuring, and enhancing the performance of our systems, with a focus on critical areas such as retrieval and ranking algorithms, Natural Language Processing (NLP), rigorous experimentation, and the development of knowledge graph and semantic web systems. This is an opportunity to work on cutting-edge problems at the intersection of AI, search, and marketing.
• You will collaborate closely with cross-functional teams, including Engineering, Product, and Marketing. Your insights and technical expertise will be crucial in transforming ambiguous questions into well-defined, measurable projects and ultimately, shippable product features. This role demands a blend of deep technical skill, strategic thinking, and effective communication to drive impactful outcomes.
• Key responsibilities will include designing, prototyping, and productionizing sophisticated models and algorithms. These will be applied to enhance retrieval, ranking, and overall relevance quality across both traditional web surfaces and emerging AI-assisted platforms. You will be responsible for developing robust NLP pipelines, encompassing tasks such as text classification, entity extraction, topic modeling, and sentiment analysis, ensuring their effectiveness is validated through rigorous offline and online metrics.
• A significant part of your role will involve owning the measurement and experimentation lifecycle. This includes formulating hypotheses, designing experiments, establishing guardrails to ensure system stability and fairness, and conducting thorough readouts that directly inform product and strategic decisions. You will also develop advanced simulation and modeling frameworks to forecast potential outcomes, test various policies, and stress-test system behavior under diverse assumptions, providing critical foresight.
• You will contribute to our foundational work in knowledge graphs and semantic web technologies. This involves schema design, entity resolution to ensure data accuracy and consistency, and the development of downstream Machine Learning and Generative AI applications that leverage this structured knowledge. Your efforts will directly impact the intelligence and capabilities of our platform.
• A crucial aspect of this role is translating complex technical work into clear, concise narratives for a diverse range of stakeholders. You will articulate technical trade-offs, express confidence levels, highlight limitations, and outline clear next steps, ensuring alignment and understanding across the organization. Furthermore, you will have the opportunity to contribute to external thought leadership, sharing our innovations and insights through blog posts, conference talks, and academic papers where appropriate.
• This role is based in NYC, offering a hybrid work model requiring 3 days per week in the office, fostering collaboration and team synergy while providing flexibility.

🎯 Requirements

• Strong foundational knowledge in statistics, experimental design (A/B testing, multivariate testing), and model evaluation methodologies.
• Hands-on experience with information retrieval, ranking systems, or search relevance, ideally within AI-augmented or conversational AI contexts.
• Proven experience in building and evaluating Natural Language Processing (NLP) models in production or advanced research settings.
• Proficiency in Python for data analysis and model development, and strong SQL skills for data querying and manipulation.
• Excellent communication skills, with the ability to clearly explain complex technical concepts, their implications, and associated confidence levels to both technical and non-technical audiences.
• Deep understanding of the web as a system, including crawl/index realities, domain structures, content organization, and the inherent constraints in web measurement.
• Experience working with non-representative datasets and employing sampling-aware analysis techniques (e.g., bias checks, adjustments, uncertainty quantification) to enhance the trustworthiness of results.
• Familiarity with challenges such as noisy or partial labels, long-tailed query distributions, content drift, and integrating diverse evaluation signals (offline and online).

🏖️ Benefits

• Competitive salary and equity package in a fast-growing startup.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off (PTO) and company holidays.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative work environment with a talented team.
• Remote work flexibility with hybrid options available.

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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