Data Scientist Leader

4 weeks ago


Old Toronto, Canada Relayfi Full time

Company Overview


At Relayfi, we're revolutionizing the way small businesses manage their finances. Our mission is to empower entrepreneurs and help them succeed. We believe in a human-centric approach, focusing on delivering exceptional customer experiences.



Salary and Benefits

We offer a competitive salary of $150,000 per year, reflecting the importance of our Data Scientist Leader role in shaping our company's future. In addition to this, you'll enjoy comprehensive health benefits, 4 weeks of vacation, and an end-of-year holiday shutdown to ensure your well-being and success.



Job Description

We're seeking an experienced Data Scientist Leader to spearhead our data science function as we enter a new chapter of growth. You'll be responsible for driving data-informed decision making across all aspects of our business. This includes architecting our data science function from scratch, elevating experimentation capabilities, and collaborating with cross-functional teams to introduce advanced methodologies.



Required Skills and Qualifications

To excel in this role, you'll need:



  • 6+ years of experience in Data Science or a related field
  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
  • Expert-level SQL proficiency, including advanced query optimization and complex aggregations
  • Extensive experience designing, implementing, and analyzing complex experimentation frameworks
  • Demonstrated ability to apply advanced statistical techniques to derive actionable insights from experimental data
  • Proven ability to drive business decisions from complex data into clear, actionable visualizations
  • Experience working with modern data stack technologies, including cloud-based data warehouses and business intelligence platforms
  • Mastery of fundamental statistical and machine learning principles
  • Advanced programming skills in Python and extensive experience with data science libraries
  • Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders


Bonus Points

If you have experience in fintech, banking, or SaaS industries, familiarity with MLOps practices, knowledge of privacy-preserving machine learning techniques, or experience with real-time analytics and streaming data processing, these will be valuable assets in this role.



The Interview Process

We use a multi-stage interview process to ensure we find the best fit for this critical role. This includes video calls with members of our Talent team, Director of Data and Insights, and other key stakeholders. We also conduct a take-home data science case study and values interview with a non-technical member of our senior leadership team.



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