About Nivoda
Nivoda’s growth trajectory has skyrocketed over the past 12 months, and we continue to expand across new regions at an unprecedented pace. Our DNA centers on understanding our customers’ needs and offering them a seamless experience. With a growing team based in major cities worldwide, including London, New York, Hong Kong, and Mumbai, Nivoda is becoming the go‑to marketplace for the global jewelry industry.
We are bold, innovative, and relentless in our pursuit of excellence as we transform an industry steeped in tradition.
About the Role
We are building our data science capability from the ground up, and this is a rare opportunity to be the founding data scientist embedded within our Growth team. You will own the analytical agenda for growth — from onboarding funnel analysis and top-of-funnel acquisition through to activation, product uptake, and revenue expansion — and for delivering insights that drive meaningful business outcomes.
This role sits at the intersection of data engineering, experimentation, and growth strategy. You will work autonomously, partnering closely with growth product managers, engineers, and marketing, and you will have the freedom to build the infrastructure and culture of data-driven decision-making.
What You’ll Do
Experimentation & A/B Testing
Design, build, and own a robust A/B testing and experimentation framework for the growth function
Define metrics, set up holdout groups, run significance tests, and communicate results with clarity to both technical and non-technical stakeholders
Identify opportunities for rapid iteration and champion a test-and-learn culture across the growth pod
Data Infrastructure & Pipelines
Build and maintain scalable data pipelines and databases that support real-time and near-real-time growth analytics
Develop ETL pipelines (e.g. Python-based) and ensure reliable, clean data flowing into dashboards and models
Collaborate with the Head of Data Engineering to align on tooling, architecture, and best practices
Growth Analytics
Analyse user behaviour across the full funnel — acquisition channels, onboarding, conversion, engagement, and churn
Build models and dashboards that surface actionable insight for the growth and marketing teams
Work closely with AI tools and emerging technologies; bring demonstrable experience of AI-native workflows to the team
Cross‑Functional Partnership
Act as the primary data partner for growth PMs, engineers, and marketing stakeholders
Translate complex analyses into clear narratives and recommendations for senior leadership
Over time, help define what a best‑in‑class data science function looks like and contribute to building it
What You’ll Need
Master’s degree in a quantitative discipline (e.g. Statistics, Computer Science, Mathematics, Engineering) or equivalent practical experience
4 – 6+ years of experience as a data scientist, ideally within a growth pod or growth-focused team at a scale‑up (Series B through pre‑IPO)
Hands‑on experience building and running A/B testing frameworks from scratch
Strong engineering fundamentals — comfortable building ETL pipelines, data models, and production‑quality analytical code (Python preferred)
Experience working with complex, cross‑functional data in a fast‑paced startup or scale‑up environment
AI‑native: actively using AI tools in your day‑to‑day workflow and able to speak to the tangible impact this has had
Comfortable operating autonomously with a builder mindset — there is no established data science function to lean on
Preferred Qualifications
Experience at a marketplace business (two‑sided platforms with real‑time supply/demand dynamics)
Background as a growth analyst or in a growth PM‑adjacent role before moving into data science
Prior experience working in Series B–D high‑growth companies where you’ve had to build, not just maintain
What We Offer
️ Flexible working hours and a vibrant company culture Remote work…