Data Scientist

Immediate need for a talented Data Scientist. This is a 09+ months contract opportunity with long-term potential and is located in Toronto, ON (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-63018

Pay Range: CAD 55 - CAD 60/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Collaborate with cross-functional teams, including scientists, technologists, and IT professionals, to understand data requirements and systems and to deliver scalable solutions.
• Develop workflows and automated data pipelines for discrete and real-time data extraction, cleansing, and loading.
• Configure and manage Dataiku, including:
• Database connections, user management, permissions, and code environments.
• Workflow maintenance and data sharing across projects.
• Optimization of ETL processes for performance and efficiency.
• Perform system maintenance for Dataiku, including updates and backups.
• Champion new features or plugins/extensions as required.
• Analyze large datasets to identify trends, patterns, and actionable insights based on scientific or operational data.
• Develop and maintain interactive dashboards and reports using Power BI, focusing on:
• Embedded analytics and effective data storytelling.
• Direct connections with Dataiku, Power BI, and Teams.
• KPI tracking and lean principles in alignment with business and scientific objectives.
• Ensure data accuracy and integrity through rigorous validation and testing.
• Maintain comprehensive documentation including but not limited to business intake forms, data processes, workflows, methodologies, and findings.
• Create and present findings virtually and/or in person.
• Generate training material, schedule, and perform virtual or in-person training sessions.
• Stay updated with industry trends, new technologies, and best practices in data platforms and architecture.
• Implement best practices for process optimization, automation, and workflow improvement using Python and scripting tools.
• Lead efforts to drive technology adoption, define best practices, and ensure smooth transitions.

Key Requirements and Technology Experience:

• Expertise in Dataiku (v12+ preferred) with strong skills in workflow design and optimization (certification is highly desirable).
• Proficiency in Python, SQL, and R for data manipulation and analysis (certification is highly desirable).
• Familiarity with cloud platforms (AWS & Snowflake) and database technologies (ETL, OLAP, data lakes - certification is highly desirable).
• Proficiency in Microsoft product ecosystem (SharePoint, Power Apps, Teams).
• Proficiency in project management systems (Jira, MS Project).
• Advanced Power BI development skills, including experience with embedded analytics and data visualization (shareable portfolio is an asset).
• Green Belt Lean, Scrum, or project management certification is an asset.
• Experience in Dataiku, Python, and Power BI development.
• 3+ years of experience in pharma, healthcare, or biotech domains.
• Concrete experience in constructing data visualizations, utilization of analytical tools, and application of statistical analysis in scientific and business contexts.
• Familiarity with orchestration and configuration management tools.
• Experience maintaining Git repositories and working in Agile environments.
• Knowledge of current visualization tools and emerging trends.
• Familiarity with machine learning and AI.
• Excellent communication skills for translating complex data insights into clear, actionable recommendations for non-technical stakeholders.
• Strong verbal and written proficiency in English is required, as the incumbent will have a client-facing role conducting technical needs assessment interviews with scientists and developing technical implementation strategies.
• An exceptional ability to translate scientific and business needs into actionable data products.
• Exceptional analytical thinking, able to dissect complex problems and derive actionable insights.
• A strong project manager with awareness of tools (Jira, MS Project).
• Strong collaboration skills, working effectively with cross-functional teams including digital, engineering, lab operations, and IT, with proven project management experience to lead teams and ensure successful execution of initiatives.
• Minimum: Bachelor’s degree in Science, Mathematics, or Engineering with a focus on Data Science, Bio-Statistics, or Software Engi