Nectar Social Founding Data Scientist at Nectar Social responsible for building core analytics features and proprietary metrics for social commerce. Collaborate with engineering and product teams to translate large datasets into product features.
Responsibilities
As our First Dedicated Data Science Hire, you will have massive scope, high ownership, and direct influence on the future of social commerce. You will work directly with our engineering and product teams to translate vast, unstructured datasets, including full-spectrum Reddit networks, Meta creator ecosystems, and campaign data, into core product features and proprietary industry standards.
Product-Driven Data Science: Own core analytics features, including building our next-generation Earned Media Value (EMV) metric, multi-touch attribution modeling, and deep commerce platform integrations.
Data foundations: Partner with Engineering to improve how our data is structured and retrieved, improving the efficiency and value of our reporting.
Exploratory Analytics & R&D: Develop trend-forecasting algorithms and out-of-the-box analytical models on proprietary dataset architectures.
Metric Creation: If you have ever wanted to own the metric rather than report on it, this role was designed for you. Define and standardize proprietary Nectar metrics that shape how consumer brands go to market.
Cross-Functional Collaboration: Partner closely with Product and Software Engineering to translate models into production code without relying on engineering teams to rewrite logic.
Data Desk Support: Contribute technical leadership to our high-visibility Data Desk initiative, powering public reports cited by the likes of the Wall Street Journal, Bloomberg, and Forbes and contributing to data-driven customer acquisition.
Qualification
ExperienceEducationTechnical SkillsDomain AdaptabilityWritten CommunicationTechnical RigorTechnical WritingBackground working with massive
Required
Experience: 4–7 years of data science experience
Education: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Technical Skills: Advanced Python proficiency and expert SQL capabilities. Proven software engineering fundamentals with a track record of writing clean, production-ready code.
Domain Adaptability: High comfort with ambiguity, fast-paced execution, and a rapid learning curve in new domain spaces.
Written Communication: Exceptional writing skills, with a demonstrated ability to turn complex data and analysis into clear, compelling narratives for non-technical and public-facing audiences.
Technical Rigor: Strong foundation in Python and SQL, with the capability to write clean, maintainable code independently.
Technical Writing: Demonstrated ability to turn data analysis into clear, compelling writing for non-technical readers, such as reports, blog posts, or research summaries.
Preferred
Prior experience in social media ecosystems, influencer platforms, or creator economy tools (e.g., CreatorIQ, Meta).
Background working with massive, unstructured text, media, or social network data.
Experience in technical writing for external artifacts (blog posts, reports)