Job details

Senior/Staff Data Scientist, Product Growth

At BioRender, our mission is to accelerate the world’s ability to learn, discover and communicate science. We are passionate about democratizing science communication in order to accelerate scientific discovery and understanding. We're looking for amazing people to help create the world’s go-to-place and platform where science is communicated. Come join us!

We’re looking for an innovative Staff Data Scientist to join our Growth Leadership Team, where our mission is to dream big, start small, and move fast. We're not just focused on optimizing funnels; we're pioneers, constantly experimenting across the entire user journey to deliver value to scientists and elevate key business metrics like engagement, retention, sign-ups, and revenue. Our focus extends beyond optimization; we're actively developing new products and uncovering new user acquisition channels with the ultimate goal of making it easier for scientists to communicate their research.

This opportunity offers an exciting blend of strategy, experimentation, analysis, and implementation, providing you with the chance to shape the future of our product growth initiatives. If you are passionate about leveraging data to drive user growth and thrive in a collaborative, fast-paced environment, come say hello!

What you'll do at BioRender:

Collaborate with product managers, product design, engineering and marketing stakeholders to optimize overall product growth performance.
Proactively identify 0-1 growth product opportunities and optimization strategy through exploratory analysis, hypothesis testing using advanced statistical methods, driving changes where needed for product roadmap development.
Build statistical models and develop advanced experimentation methods, such as synthetic control, and diff-in-diff to measure marketing’s impact globally and across BioRender’s product lines.
Support data and modeling needs that influence top line company KPIs working closely with marketing, fp&a, and revenue operations in areas such as attribution modeling, growth quantitative modeling, lead/propensity scoring modeling, time series forecasting and goal setting, and foundational data models
Work with data scientists and Engineering, Product, and Design (EPD) leaders across the organization to up-level baseline data insights and experimentation strategy across all product pods

What we value:

Proficiency in SQL and modeling in R/Python
3+ years industry experience and advanced degree (master or above) in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience
Deep knowledge of experiment design and causal inference, strong analytical and causal reasoning mindset
Ability to translate quantitative findings into actionable insights and influence business decisions.
Expertise in statistical modeling, econometrics modeling, and machine learning

Bonus Points:

System thinking and creativity to solve complex problems by going deep to understand its core drivers
Strong Stakeholder management
Experience collaborating with marketing, FP&A teams or revenue-focussed teams on common growth marketing attribution systems e.g., Media Mix Model, Customer LTV, Ads platforms, time series forecasting model

Why join us?

We are mission-driven, and work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery: BioRender figures have appeared in more than 54,000 publications!
It’s a product that users love! We have a world-class NPS and a community of loyal fans. Check out our Testimonials page to see what our customers are saying about us: https://biorender.com/testimonials/
We are in the top quartile for profitability and year-over-year revenue growth, with users in 200+ countries.
BioRender is an equal opportunity employer, and an inclusive hiring process and work environment is a part of our DNA.
We’re remote-first and have team members across Canada and the United States. A physical office in Toronto is available, but you have the flexibility to work from anywhere.
We’re backed by top investors, accelerators, and some of the most successful life science entrepreneurs and philanthropists in the world including Y Combinator, Malala Fund founders, and Fifty Years VC.
We’re proud that women make up 2 of 3 co-founders, 53% of our team, and 37% of leadership. This representation continues to grow and we are hiring!
We are committed to building a warm, inclusive, and diverse environment. Check out how we make sure our employees come first.