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Product Data Scientist SaaS
Contract type
Ongoing
Work mode
Remote · Europe
Experience
Mid-level · 3+ years
Job description
Product Data Scientist for a SaaS venture builder, focused on A/B testing, customer journey analysis and business decision-making.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote · Europe
- Languages
- French – fluent, English – B2
What you'll do
- Challenge the current A/B test design and analysis process and propose improvements
- Build and evolve a robust experimentation framework covering hypotheses, metrics, power and decision rules
- Design and review test plans with teams before launch
- Analyze mature results, state their limits and recommend decisions
- Keep methods and tools simple enough for teams to become autonomous
- Explore acquisition, conversion, usage, payment and retention data to understand growth levers
- Analyze funnels and cohorts, identify friction points and propose high-impact tests
- Work with the Payment team on transaction performance and risk analyses
- Analyze customer value by cohort, acquisition channel, product or segment
- Evolve LTV, acquisition cost and payback analyses to inform marketing and business decisions
- Improve use of value signals in advertising platforms with the Data Engineer
- Turn leadership and team questions into suitable analyses and protocols
- Ensure data reliability and shared metric definitions with the Data Analyst and Data Engineer
- Communicate results, uncertainties and recommendations clearly to technical and business audiences
What we're looking for
- 3 to 5 years of experience in product or growth data science or a comparable analytical role
- Experience on a high-traffic product or with large data volumes in SaaS, subscription or e-commerce
- Hands-on experience designing and analyzing experiments and improving a product or business performance with data
- Strong statistics and inference foundations and ability to choose a suitable method
- Experiment design and analysis: hypotheses, statistical power, multiple testing, metrics, cohort maturity
- Advanced SQL and Python for data analysis and statistics
- Funnel and cohort analysis, retention and customer value
- Business sense and product intuition linking analyses to decisions and impact
- Critical thinking to challenge a hypothesis, test or conclusion with arguments
- Pedagogy: explaining results, their limits and implications clearly
- Autonomy, curiosity and ability to prioritize in a cross-functional role
- Fluent French, the main working language
- English at minimum B2 level, assessed during the recruitment process
Nice to have
- Familiarity with marketing data, user interactions or payments
- Knowledge of LTV modeling
- Experience with a data warehouse and product analytics tools
- Familiarity with PSP data or advertising platforms
Your team
Data department
Data department led by the Chief Data Officer, alongside a Data Engineer and a Data Analyst, working with the CEO, Product Managers and Marketing, Payment and development teams.
Benefits
- Direct, measurable impact on decisions and revenue
- First data scientist in the company, a role to build with lots of ownership
- Full view of the customer journey across several SaaS products
- Remote work from any European country
- Coworking budget of 200 euros per month
- Tailored vacation policy
- Flexible hours
- One month of remote work from a different time zone
- Equipment budget
- Two team seminars per year
- For Lausanne-based profiles: modern offices, sport access, parking and commuting costs
How to get hired
- 1Discovery interview with Talent Acquisition Manager Noémie, 30 min
- 2Technical interview with Chief Data Officer Youssef
- 3Culture interview with Head of HR & Finance Matteo
- 4Reference check
Apply
About Dotworld
Venture Builder and SaaS Studio
Venture builder designing, launching and scaling several SaaS products in parallel, with a fully distributed team.
Mission
Create concrete tools that make daily life easier for millions of people worldwide
Key facts
- 50+
- Lausanne
- SaaS / Venture Builder
- More than 50 million visitors per year
- No fundraising, 100% self-funded growth
- Profitable from the first year
- From 1 to 50+ employees in 4 years
- 90% of the team works remotely
What they value
- Performance: obsessed with impact
- Ownership: act like an owner
- Integrity: honesty, consistency and professional courage
- Test, Learn, Scale culture
