Data Scientist I

📋 Description

• Data Wrangling: Prepare, transform, and analyze real-world data.
• Pipeline Paving: Build, validate, and maintain ML models and pipelines.
• Agile Execution: Break down complex requirements into deliverables.
• Code Craftsmanship: Write clean, documented, reproducible code.
• Quality Control: Improve data quality, integrity, and completeness.
• Pattern Recognition: Find patterns and anomalies in large datasets.

🎯 Requirements

• The Rising Star: Experience in data analysis, statistics, or ML/AI.
• The Python & Git Pro: Strong Python skills and Git version control.
• The Data Manipulator: SQL proficiency; Snowflake/AWS/GIS experience.
• The Analytical Thinker: Foundation in statistics and algorithms.
• The Visual Storyteller: Experience with viz tools like Streamlit or Dash.
• The Curious Collaborator: Self-motivated, able to work with diverse teams.

🎁 Benefits

• Comprehensive Coverage: Health benefits and 24/7 virtual care.
• Financial Future: 401K/RRSP matching and incentive plan.
• Time to Recharge: Mio-Days and flexible vacation policy.
• Work & Life Support: Flexible work options and remote perks.