Product Data Scientist – SaaS

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🔥 0 minutes ago

🇨🇭 Switzerland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DotWorld

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

DotWorld is a company that specializes in helping web entrepreneurs and SaaS startups to develop, scale, and manage their online businesses. They provide a comprehensive set of services including idea generation, resource provision, market testing, and tailored marketing strategies to ensure the success of SaaS ventures. With a multi-disciplinary team of experts in development, marketing, design, and AI, DotWorld aims to supercharge SaaS ideas and facilitate their growth in the global market.

📋 Description

• Turn data into reliable analyses, actionable recommendations, and experiments that measure value creation • Challenge existing A/B testing methods and strengthen the experimentation framework • Formulate hypotheses, select metrics, calculate statistical power, define test duration, and establish decision rules • Design and review test plans with teams before launch • Analyze results once they have reached maturity, explain their limitations, and recommend next steps • Evolve experimentation methods and tools to empower teams to work independently • Explore acquisition, conversion, usage, payment, and retention data • Analyze funnels and cohorts, identify friction points, and propose high-impact hypotheses or tests • Collaborate with the Payments team on analyses and experiments related to transaction performance and risk • Analyze customer value by cohort, acquisition channel, product, or segment • Improve LTV, customer acquisition cost, and payback analyses • Work with the Data Engineer to improve the use of value signals on advertising platforms and measure their impact • Turn questions from leadership and teams into appropriate analyses and study protocols • Ensure data reliability and align on consistent metric definitions with the Data Analyst and Data Engineer • Communicate results, uncertainties, and recommendations to technical and business stakeholders

🎯 Requirements

• 3–5 years of experience in product data science, growth, or a comparable analytics role • Experience with a high-traffic product or large data volumes in SaaS, subscription, e-commerce, or a comparable environment • Hands-on experience designing and analyzing experiments, and using data to improve a product or business performance • Familiarity with marketing data, user interactions, or payments is a plus • Strong foundations in statistics and statistical inference • Proficiency in experiment design and analysis, including hypotheses, statistical power, multiple testing, metrics, and cohort maturity • Advanced SQL and Python for data analysis and statistics • Experience with funnel and cohort analysis, retention, and customer value; knowledge of LTV modeling is a plus • Experience with a data warehouse and product analytics tools • Fluency in French required • Minimum B2 level of English • Three-month notice period accepted

🏖️ Benefits

• €200 per month coworking budget • Tailored vacation policy • Flexible working hours • Work remotely from a different time zone for one month • Equipment budget for a laptop, desk, chair, monitor, and headset • Two company seminars per year • For employees based in Lausanne: modern offices, access to sports facilities, parking, and a contribution toward commuting expenses • Professional development opportunities • Career growth opportunities • Work remotely from anywhere in Europe

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