Staff Data Scientist embedded across growth, product, AI, or partnerships at Jerry.ai, an AI - powered platform managing car and home ownership. Defining metrics, running experiments, and driving data - informed business decisions.
About the role
- Head of Data Science & Analytics overseeing the data function for Big Viking Games. Responsible for transforming data into actionable insights across various business areas in a hybrid role.
Responsibilities
- Build and own the company’s data science and analytics function from the ground up.
- Partner with executive leadership, product, live operations, marketing, finance, and technology teams to turn business questions into clear insights, recommendations, and action plans.
- Develop the core analytics roadmap across player behavior, retention, engagement, monetization, game health, content performance, live operations, user segmentation, forecasting, and business performance.
- Personally perform hands-on analysis, including SQL querying, dashboarding, data modeling, KPI development, reporting, statistical analysis, and business case development.
- Improve the quality, consistency, and reliability of company metrics, reporting, and data definitions.
- Identify gaps in data collection, instrumentation, data architecture, reporting, and operational visibility.
- Partner with engineering and data stakeholders to improve data pipelines, data quality, data governance, and access to trusted datasets.
- Design dashboards and executive reporting that help leaders understand what is happening, why it is happening, and what should be done next.
- Lead analysis on player lifecycle, cohort behavior, monetization trends, feature performance, content performance, game economy, and live-service operations.
- Support experimentation, A/B testing, measurement frameworks, and decision-ready analysis for product and business initiatives.
- Implement practical AI-driven solutions to accelerate analytics workflows, automate repetitive reporting, improve insight generation, and support better business decisions.
- Explore and deploy AI agents, copilots, workflow automations, and other tools that improve productivity across analytics, operations, product, and leadership reporting.
- Establish best practices for responsible AI use, data privacy, analytical rigor, documentation, and repeatable workflows.
- Over time, hire, coach, and lead a high-performing data science, analytics, and/or BI team.
Requirements
- 8+ years of experience in data science, analytics, business intelligence, product analytics, or a related data discipline.
- Experience operating in a gaming, digital product, SaaS, consumer technology, marketplace, or live-service environment.
- Strong hands-on analytical skills, including advanced SQL and experience with Python, R, or similar analytical tools.
- Proven ability to translate ambiguous business problems into structured analysis, clear recommendations, and executive-level narratives.
- Experience building dashboards, reports, KPI frameworks, and decision-support tools for senior leadership.
- Strong understanding of product analytics, user behavior, retention, engagement, monetization, segmentation, cohort analysis, forecasting, and experimentation.
- Experience working with data engineering, product, finance, marketing, and executive teams.
- Experience implementing or adopting AI tools, GenAI, copilots, agentic workflows, workflow automation, or AI-enabled analytics processes.
- Ability to operate independently in a hands-on capacity before a larger team is built.
- Strong communication skills, with the ability to explain complex analysis in clear business language.
- Demonstrated ability to build structure in an environment where data, processes, tooling, or reporting may still be maturing.
Benefits
- Comprehensive benefits package (health, dental, and vision) including HSA/WSA spending account from Day 1
- Participation in the Employee Stock Option Plan (ESOP)
- RRSP participation and matching
- 15 Vacation Days + 10 Wellness Days
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