Senior Data Scientist - Insights (Subscription Experience) Preply is a global language learning marketplace, connecting 50,000+ tutors with millions of learners from all over the world.
Since the company launched in 2012, students have signed up for more than 15 million lessons.
At Preply, data is at the heart of every decision we make.
We run hundreds of A/B tests to continually optimize our product, each with its own analytical and tracking challenges.
The complexity of our subscription model, along with the unique dynamics of tutor-learner interactions, offers an exciting opportunity for those looking to make a real impact.
As a Senior Data Scientist for the Subscription Experience (SubX) team, you will be a key player in shaping the future of our subscription product and driving our monetization strategy forward.
Embedded within a cross-functional squad, you'll collaborate closely with product managers, tech leads, designers, and other key stakeholders to deliver data-driven insights that shape business decisions.
Your work will guide the evolution of the subscription model, helping us better understand user behaviors, optimize pricing strategies, improve retention, and explore new opportunities to improve the value we offer to learners and tutors alike.
What you'll be doing:
Develop a deep understanding of the dynamics of our subscription model, including user behavior, pricing strategies, and the economics of Preply's marketplace.Focus on the continuous improvement of our subscription product by gathering and analyzing data to uncover valuable insights that will shape product evolution and strategy.Analyze customer behavior and product usage, improve our understanding of what drives retention, and effectively communicate findings to both technical and non-technical stakeholders to drive informed decision-making.Quantify and model the impact of new product features and initiatives, identifying growth opportunities and contributing to the prioritization of our product roadmap.Help define key performance indicators, tracking events, and engagement metrics that align with business goals and product improvements.Design, execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes.Build strong relationships with data and technical leaders to foster collaboration and drive cross-team initiatives.What you need to succeed:
Experience in data analytics working with product teams, experimenting and uncovering opportunities for product optimization.Experience designing and analyzing A/B tests with a strong grasp of relevant statistical concepts.Strong understanding of data analysis concepts such as conversion, LTV, cohort analysis, retention, etc.Proficiency in one or more programming languages (e.g., Python, R).
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