Wealthsimple
Wealthsimple
1,001 – 5,000 कर्मचारी
परामर्शफिनटेकबीमा
Wealthsimple कनाडा की एक फिनटेक कंपनी है, जो रोज़मर्रा के वित्तीय प्रबंधन और दीर्घकालिक संपत्ति निर्माण के लिए डिजिटल उपकरण विकसित करती है। इसका प्लेटफ़ॉर्म उपभोक्ता बैंकिंग, बचत, चेकिंग खाते, क्रेडिट कार्ड, शेयरों, ईटीएफ, विकल्पों और क्रिप्टोकरेंसी में स्व-निर्देशित ट्रेडिंग, साथ ही प्रबंधित पोर्टफोलियो, कर सेवाएँ और उच्च-निवल-संपत्ति वाले ग्राहकों के लिए सलाहकारी संपत्ति प्रबंधन को एक साथ लाता है। Wealthsimple वित्तीय शिक्षा और योजना संबंधी उपकरण भी प्रदान करती है, जो खुदरा ग्राहकों को अपने धन के बारे में अधिक सूचित निर्णय लेने में मदद करने के लिए बनाए गए हैं।

Senior Growth Data Scientist at Wealthsimple, Remote in Canada

Lead marketing optimization, attribution, and experimentation initiatives as a Senior Data Scientist at Wealthsimple. Use growth analytics and data products to improve campaign performance for a Canadian financial technology company.

विवरण

  • Act as the subject-matter expert and accountable owner for a key marketing domain
  • Create data products and algorithms that improve budget allocation, audience targeting, and performance across channels
  • Develop marketing measurement approaches covering attribution, incrementality, and multi-touch analysis
  • Use insights, A/B tests, and causal inference to guide marketing decisions and improve return on spend
  • Build and support analytics pipelines and data infrastructure alongside data engineers and fellow data scientists
  • Explore data to uncover growth opportunities, understand customer behaviour, and refine marketing tactics
  • Deliver reports, dashboards, and on-demand analysis for marketing partners
  • Apply AI tools to streamline operational work
  • Work with Google, Meta, other advertising platforms, and internal engineering teams on tracking, integrations, and measurement
  • Partner with Growth, Product, Engineering, marketing, data engineering, and data science teams
  • Lead initiatives from conception through delivery, producing straightforward and effective solutions

आवश्यकताएँ

  • Understand digital marketing fundamentals, including attribution, advertising platforms, tracking, and conversion optimization
  • Have experience with lifecycle data and with reaching new and existing customers across the customer journey
  • Bring strong Python and SQL skills, including experience producing production-ready code
  • Demonstrate success developing algorithms, solving optimization problems, or building data-driven decision systems
  • Have a strong grounding in causal inference, A/B testing, and experimental design
  • Communicate clearly and explain complex technical ideas to non-technical audiences
  • Have owned complex projects end to end as the accountable data lead
  • Use AI effectively while applying strategic judgment and critical thinking
  • Cover the full data science lifecycle, from dashboards and reporting through advanced algorithm development
  • Contribute to the strategic direction of marketing analytics with limited ramp-up time
  • Bring experience in marketing measurement, attribution, and incrementality
  • Adapt quickly to shifting priorities and manage complex work
  • Show a willingness to teach, learn, and seek feedback
  • Experience building internal analytics and optimization systems at larger technology companies is preferred
  • Be legally authorized to work in Canada

लाभ

  • Equity compensation is available to permanent employees
  • Comprehensive health coverage and life insurance
  • Long-term group savings through Wealthsimple for Business, including an employer match
  • 20 vacation days annually
  • Four wellness days annually
  • Unlimited sick and mental health days annually*
  • Work outside Canada for up to 90 days each year*
  • Employee resource groups such as Rainbow (2SLGBTQ), Women of WS, and Black at WS
  • Remote-first employment from anywhere in Canada
  • AI tools designed to increase impact and support focus on strategic work
  • Unlimited paid sick days, Wellness Days, and the 90-day away program exclude certain roles

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