Data Scientist Experimentation
Role details
Job location
Tech stack
Job description
Over the past 10 years, Polarsteps has grown massively through word-of-mouth, thanks to our product and tech department building a top-quality user experience for all our travelers.
As our data scientist with expertise in experimentation, you will sit within the Growth & Marketing department of the organization. You will be partnering with the Head of Growth, and will help drive the experimentation practices and analyses, collaborating with product, marketing, designers and engineers, to enable trustworthy decisions at scale. You will help Polarsteps use novel ways (sprt, stratified random sampling, etc.,) to increase the speed of the experimentation lifecycle and develop ways to ensure that our experiment process is the highest standard possible.
With 20M+ users and ratings of 4.8 and 4.7 on the app stores and features in multiple Google and Apple showcases, we've got an impressive past. But we're even more excited for the future, and you'll play a crucial role in the growth and direction of Polarsteps as we grow to 100M+ users around the globe.
Your itinerary
What your journey at Polarsteps will look like day-to-day.
- Partner with product, growth, and marketing teams to translate business questions into well-designed experiments with clear success criteria.
- Design, run, and analyze experiments across product and marketing to help Polarsteps make confident, data-backed decisions at scale.
- Advance our experimentation methodology (introducing techniques like SPRT, stratified sampling, and variance reduction) to help us learn faster and ship with more confidence.
- Build and maintain the statistical frameworks and tooling that power our experimentation practice, from sample size calculators to automated analysis pipelines.
- Present experiment results and strategic insights to senior stakeholders, turning statistical findings into clear, actionable recommendations.
Requirements
5+ years of related industry experience in the data science and experimentation domain
Worked with B2C native mobile apps
Expertise in SQL, familiarity with Python, knowledge cloud data environments (e.g. AWS, Clickhouse etc.)
Hands-on experience building and scaling experimentation practices, working with product managers or marketing department and have worked with statistical methods (causal inference, multi-arm bandits. reinforcement learning, synthetic data and experimentation, non-parametric methods, etc.,) in start-ups or scale-ups
Are familiar with product analytics and reporting tools (e.g., Mixpanel, Amplitude, Appsflyer, Adjust, Looker, Meta Base etc.).
Ability to communicate and explain data science and experimentation concepts to diverse audiences and craft a compelling story.
Intellectually curious, creative, and diligent you enjoy thinking about the business as much as about the data.
Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
About the company
Polarsteps is helping millions of travelers across the globe to plan, track and relive their travels in a smart and beautiful way.
Crafted by a team of avid explorers with a passion for clever technology and design, our all-in-one travel app features a travel planner, a personalized digital map and, at the end of it all, can be used to turn memories into a hold-in-your-hand Travel Book.
Launched in 2015 and headquartered in Amsterdam, our fast-growing team is on a journey with a clear destination - to inspire and connect people through travel.