Director, Data Science
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Job Description
Director of Data Science leading the evolution of Jobber’s Analytics and Insights organization. Driving AI and ML strategies to enable smarter, data-driven decisions in a tech-driven small business landscape.
Responsibilities:
- Lead the evolution of Jobber’s Analytics and Insights organization from insight generation to automated intelligence
- Responsible for building and scaling Jobber’s data science team and practice
- Develop predictive models, experimentation frameworks, and AI analytic capabilities that drive automation, efficiency, and growth
- Enable Jobber to move faster and make smarter, data-driven decisions through advanced analytics and self-service empowerment
- Design, refine, and deploy ML models while supporting team members’ career, technical and methodological growth
Requirements:
- The ability to define, execute and lead data science strategy development in alignment with the 3-Year Analytics and Insights plan, focusing on predictive analytics, automation, and AI-driven decision-making
- A track record of success leading a data science team in development of predictive and prescriptive models that drive and support an organization’s growth strategy
- A track record of success leading and implementing an experimentation framework to accelerate learning and decision confidence
- Experience with the development of data products to enable organizational self service including the use of AI / LLMs
- Experience with a rigorous decision science framework and governance function to ensure models and experiments are performant and accurate
- Strong leadership and communication skills with the ability to inspire teams and influence senior stakeholders
- Exceptional written and oral communication
- Strong command of modern data stacks (e.g., dbt, Snowflake, Databricks, AWS/GCP, MLflow)
- A thoughtful and effective approach to performance management
- Comfort with budgets. You will be responsible for the Data Science Team Budget. You should have experience managing a budget, working with Finance teams and managing vendors.
- Familiarity using our tech stack: AWS, Redshift, DBT, Tableau, Metabase (highly desired, but not a dealbreaker)
- Experience with risk and financial modelling (highly desired, but not a dealbreaker)
- Quantitative degree (Math, Engineering, etc.) (highly desired, but not a dealbreaker)
- Proven experience leading 3+ teams as a manager of managers (highly desired, but not a dealbreaker)
Benefits:
- A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind
- Matching in RRSP, TFSA or FHSA
- Stock options
- A dedicated Talent Development team and access to coaching, learning, and leadership programs
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