Data Scientist

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

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

Remote work Plenty of opportunities for growth and learning ️ Unlimited holiday allowance Chance to join and contribute to a company during its exponential expansion phase

Nivoda is proud to be an equal opportunity workplace dedicated to promoting diversity. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Even if it seems you don't meet 100% of our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

Please note: Our Talent Acquisition Team is international coming from across the world. We kindly ask you to please submit your CV and application in English so that it can be reviewed correctly.

This is a full time, permanent position that's remote within Europe. Unfortunately, we are unable to offer sponsorship at this time.

*If after reading this job description you believe this is not the best fit for you, we'd encourage you to join our Talent Pool so we can keep you in mind as new roles open up. You can sign up here:

This ensures you're among the first to hear about openings aligned with your skills and interests.

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.