Founding Data Scientist
At Nectar Social · Palo Alto, CA; New York City, NY; Palo Alto, California, United States
Salary: US$200,000–250,000 a year
- Data and ML
- Full-time
See how well you match Match me reads your CV and picks the jobs that suit you best.
Get jobs like this within hours Radar emails you new jobs open to you within hours of us finding them, before most people see them.
Where you’ll work
Hybrid, based in New York City or Palo Alto
“Palo Alto, CA”
From the location.
“New York City, NY”
From the location.
“Palo Alto, California, United States”
From the job board field.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
Report a mistake
- Posted
- 12 October 2026
- First seen by us
- 4 November 2026
- Last checked
- 15 hours ago
Job description
From Nectar Social’s job post, as they wrote it.
About Us
We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing -- they build relationships with brands through authentic social interactions, seek recommendations from communities they trust, and expect personalized experiences that feel human, not corporate.
At Nectar, we're building the AI-native social operating system that enables this new era of commerce. We believe every social interaction should deepen the relationship between brands and their communities while creating genuine value for both sides.
Read the full description
Founded by ex-Meta product and engineering leaders, we've raised over $30M in total capital from investors including GV and True Ventures. We work with brands like Oura Health, Caraway, e.l.f. Cosmetics, Kosas, OLIPOP, and many more. We're building the future of social commerce -- where community, conversation, and commerce converge.
Role Overview
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.
Key Responsibilities
* 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.
Minimum Qualifications
* 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 Qualifications
* 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)
What We Offer
* Competitive compensation and early equity
* Health, vision, and dental benefits + 401(k) match
* ClassPass membership for fitness and wellness classes
* $50/month mobile stipend for all employees, and $50/month internet stipend for remote employees
For our Palo Alto Office
* Hybrid schedule: 4 days in office, plus 3 remote flex days per quarter (after your first 3 months)
* Free lunch in the office
* $1,000/month housing stipend for living near the office
* Fully paid for commuter benefits (train stipend or Palo Alto parking reimbursement)
Founding Data ScientistNectar Social
Apply on Nectar Social (opens in a new tab)Get jobs like this by email
Once a week, we email the new remote jobs open where you live, each with the line that proves it. Every email has a one-click unsubscribe.
