Become a key player at Tonal as a Senior Data Scientist, specializing in analytics and causal inference in a hybrid model. Your work will translate data into actionable insights for product enhancement. This role involves close collaboration with product and analytics teams to design and implement impactful analyses. You'll focus on developing KPIs, crafting visualizations, and ensuring data-driven decision making across the organization. Your strong statistical acumen and communication skills will be critical in guiding executive-level strategies. Key Responsibilities: • Design causal analyses to evaluate product features • Collaborate on KPI development for useful metrics • Create visual dashboards with Databricks and Looker • Validate findings with rigorous testing and documentation • Support self-service analytics through robust metric documentation Requirements: • 3–5+ years in data science roles • Proficient in SQL, Python, and R programming • Deep knowledge of causal inference techniques • Experience developing machine learning models • Strong capability in visualizing data insights clearly Bring your analytical expertise to Tonal and make a measurable impact on product performance. #J-18808-Ljbffr
Senior Data Scientist with Analytics Focus • Toronto, ON, Canada
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