Related skills
bigquery sql python machine learning data scienceπ Description
- Lead data science initiatives shaping how millions experience work.
- Develop and deploy ML solutions with MLOps integrated into software.
- Collaborate with Product and Development to turn data into product improvements.
- Build repeatable frameworks for insights, benchmarking, and engagement scoring.
- Translate models to production with an engineering team for scalability.
- Communicate findings to stakeholders via data visualization.
π― Requirements
- Advanced degree in Statistics, CS, Behavioral Science or Mathematics (preferred).
- 3+ years analyzing product data and building AI/ML algorithms.
- Experience with AI/GenAI/ML for actionable insights.
- Python and SQL proficiency; scripting for prototyping; OOP.
- Experience with cloud platforms (GCP, BigQuery) and version control.
- Experience deploying models to production with an engineering team.
π Benefits
- Health benefits and life insurance from day one.
- Parental leave top-up.
- Employer matched RRSP contributions.
- Flexible vacation.
- Employee and Family Assistance Program.
- Professional development and mentorship.
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