We’re looking for a Founding Data Scientist to shape the future of Opal’s data strategy.

Team: Growth

Location: our office is in Paris, France (3 days per week at the office)

Why Opal?

• Mission-Driven Impact: We are on a mission to help 1Bn people to focus better every day. We’ve empowered our community to save 150M+ hours and counting.

• Ownership & Flexibility: Structure your work to foster creativity and productivity.

• Collaborative Culture: Work with a small, high-impact team that gathers quarterly for meetups and learning. Nearly $1M in Revenue per Employee.

• Growth & Recognition: Join a top-30 US productivity app with competitive compensation and early equity. 4.8/5 rating on 60k+ reviews.

• Well-Supported: Backed by world-class investors and founders of companies like Pinterest, Snapchat, and Revolut.

Why This Role and Why Now?

We’re entering a phase where data will shape every part of our product, growth, and strategy. As our first data hire, you’ll build the stack, run the analyses, and empower every function to make smarter decisions.

What You’ll Be Doing

• Set up our core analytics stack (dbt, Snowflake, Metabase, etc.)

• Define key metrics and build dashboards used across the company

• Analyze product usage, growth loops, and marketing performance

• Design experiments and interpret results

• Be a strategic partner to Product, Marketing, CX, and the CEO

What You’ll Be Doing

• Set up our core analytics stack (dbt, Snowflake, Metabase, etc.)

• Define key metrics and build dashboards used across the company

• Analyze product usage, growth loops, and marketing performance

• Design experiments and interpret results

• Be a strategic partner to Product, Marketing, CX, and the CEO

What You Bring

• Fluency in SQL, Python, and modern data tools

• Experience in consumer tech (ideally mobile)

• Comfort in ambiguous, 0→1 environments

• Strong product sense and storytelling ability

• Passion for focus, productivity, or digital wellbeing

If you’re excited to build something meaningful from scratch, we’d love to meet you.