Data Scientist
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Key skills for this role
About the Role
Galent is seeking a Data Scientist with a Master's or PhD (or strong Bachelor's with relevant experience) to build scalable, production-ready data science solutions and deliver actionable business insights.
Key Skills for This Role
Responsibilities
- Build reusable analytical workflows using Python and SQL
- Analyze complex enterprise data and develop practical ML solutions
- Work with cloud data platforms and production data pipelines
- Leverage AI tools to accelerate development while ensuring code quality
- Collaborate with Data Engineers and ML Engineers to deliver scalable, production ready solutions
Requirements
- Master's or PhD (or strong Bachelor's with relevant experience) in a quantitative field
- Proficiency in Python & SQL
- Knowledge of Machine Learning & Applied Statistics
- Experience with Git & AI assisted Development (LLMs)
- Experience with Snowflake, Databricks, Spark, or other modern data platforms
- Understanding of Data Engineering & ML Lifecycle fundamentals
Full Job Posting
Title and Location
- Title: Data Scientist
- Location: Vancouver, BC (Hybrid – 2 Days Onsite)
Role Summary
- We are looking for a Data Scientist with a Master's or PhD (or strong Bachelor's with relevant experience) to build scalable, production ready data science solutions and deliver actionable business insights.
Required Skills
- Python & SQL
- Machine Learning & Applied Statistics
- Git & AI assisted Development (LLMs)
- Snowflake, Databricks, Spark, or other modern data platforms
- Data Engineering & ML Lifecycle fundamentals
Key Responsibilities
- Build reusable analytical workflows using Python and SQL
- Analyze complex enterprise data and develop practical ML solutions
- Work with cloud data platforms and production data pipelines
- Leverage AI tools to accelerate development while ensuring code quality
- Collaborate with Data Engineers and ML Engineers to deliver scalable, production ready solutions.
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