Data Scientist
2 weeks ago
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).
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
Database connections, user management, permissions, and code environments.
Workflow maintenance and data sharing across projects.
Optimization of ETL processes for performance and efficiency.
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.
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.
Key Skills:Dataiku, Python , Power BI .
~ 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).
~ Strong infrastructure automation skills.
~ Green Belt Lean, Scrum, or project management certification is an asset.
~ Experience in Dataiku, Python and Power BI development.
~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.
~ 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.
~ 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.
~ Bachelor's degree in Science, Mathematics or Engineering with a focus on Data Science, Bio-Statistics, or Software Engineering.
~ Asset: Master's in Biotechnology, Bioinformatics, Computer Science or Engineering.
~ Experience with Power BI Embedded analytics required.
~ Familiarity with big data tools and platforms (e.g., Our client is a leading Pharmaceutical Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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