Senior Data Scientist

About GTMfund and the Role

At GTMfund, we envision a future where conversations become the primary mode of shopping. Our company is building an advanced platform that integrates a unified AI agent to assist customers across all stages of their journey—including sales, support, and re-engagement—ushering in the era of Conversational Commerce. Our goal is to transform customer-brand interactions into seamless, personalized, and intelligent relationships, using cutting-edge AI combined with deep product knowledge.

Our focus areas include:

• Delivering authentic, on-brand conversation experiences.
• Ensuring smooth shopping experiences from chat to purchase.
• Facilitating personalized one-on-one interactions to boost re-engagement, avoiding generic marketing noise.

GTMfund is shaping the foundation for ecommerce's next decade, empowering each brand with its intelligent agent and ensuring customers receive a uniquely understood experience.

Decision Intelligence Team Mission

The Decision Intelligence team drives strategic decision-making as a core competitive edge within the organization. We develop and maintain the Gorgias Decision Engine (GDE), a central system uniting infrastructure, data, context, decision products, and AI capabilities. The GDE empowers the company to obtain insights, automate workflows, and improve decision quality.

The team spans several disciplines:

• Data and AI Engineering: building the infrastructure, context strategies, and scaling AI capabilities.
• Analytics: activating GDE's value via partnerships and strategic insights.
• Data Science: providing forward-looking analytics including forecasting and experimentation.

Role Responsibilities

• Lead the data science function within Decision Intelligence, directly reporting to the Senior Manager of Decision Strategy and Operations.
• Collaborate with the Senior Manager of Data Analytics to establish and grow the data science vision and strategy.
• Partner with stakeholders across Finance, GTM, and Product—from frontline employees to C-suite—to deliver data-driven modeling, experimentation, and actionable recommendations.
• Enhance forecasting models related to finance such as revenue projections, churn prediction, and scenario analyses.
• Advance audience segmentation and profiling efforts for effective GTM strategies.
• Support initiatives for retention and expansion intelligence by refining churn risk models, identifying growth opportunities, and assessing customer success measures.
• Contribute to pricing strategies through models analyzing price sensitivity, upgrade potentials, and predictive pricing experiments.
• Develop and scale frameworks for experimentation and A/B testing, including defining vital metrics and success indicators.
• Collaborate cross-functionally to provide near real-time insights, forecasts, and strategic recommendations.
• Maintain and improve existing predictive models such as fit score, intent score, churn risk, and forecasting by updating signals and features.
• Spot valuable repeatable data patterns and coordinate with Data Engineering to productionize these as integrated models within the Gorgias Decision Engine.

Candidate Profile

• Possess over five years of hands-on experience in data science or related quantitative domains, with expert knowledge in Python and SQL.
• Strong expertise in statistical modeling, forecasting techniques, segmentation, and experimental design.
• A highly motivated individual contributor eager to build the data science discipline from ground zero, shaping their career by defining and scaling the function.
• Comfortable working in an ambiguous, fast-moving environment, able to ship solutions iteratively.
• Excellent communication skills to translate complex analyses into clear, actionable insights for technical and non-technical audiences.
• Able to juggle multiple domain areas including Finance, GTM, and Product, with natural prioritization and organizational skills.
• Passionate about the intersection of AI and data science, viewing large language models and agentic systems as amplifiers rather than replacements.
• Experience collaborating with engineering teams to deploy and monitor models in production using MLOps practices, including CI/CD.

Preferred Qualifications

• Background in SaaS, B2B, or ecommerce industries.
• Familiarity with dbt, BigQuery, or related modern analytics engineering tools and workflows.
• Experience as an early data science hire or having established a data science function previously.

Technical Stack

• Data & Infrastructure: Google Cloud Platform with BigQuery, dbt.
• AI & ML: Python along with frameworks such as LangChain and LangGraph, using LLMs including Anthropic, Gemini, and OpenAI.

Benefits and Work Environment

• Five weeks of paid vacation aligned with local PTO laws.
• Paid sick and parental leave (16 weeks).
• Complete setup support including a MacBook Pro, up to CAD 900 for home workstation setup.
• Private health insurance and a retirement pension plan (RRSP) with employer matching contributions up to 4%.
• Onboarding week in the Toronto office with travel and accommodation expenses covered.
• Annual learning budget of up to CAD 2,600 for educational resources and professional development.
• Quarterly company-wide summits and annual offsite retreats fostering connection and team cohesion.

Diversity & Inclusion

GTMfund champions an inclusive workplace welcoming applicants of all backgrounds. Accommodations are available during application or interviews upon request.

Compensation

The salary range for this role is from 153161 to 169283 Canadian dollars annually.

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