Data Scientist

Pyramid Consulting, Inc; Toronto; On-site; CAD 75,768 - 82,656; Full time

Benefits offered by this job

Health insurance (medical, dental, vision)

401(k) plan

Paid sick leave

Job summary

An established industry player is seeking a talented Data Scientist for a 9+ month contract in Toronto. This role involves collaborating with cross-functional teams to design scalable data solutions, develop automated data pipelines, and analyze large datasets to derive actionable insights. The ideal candidate will have expertise in Dataiku, strong programming skills in Python, SQL, and R, and a solid understanding of data visualization using Power BI. Join a leading firm in the pharmaceutical industry and make a significant impact on data-driven decision-making in a dynamic and innovative environment.

Qualifications

• Expertise in Dataiku with strong skills in workflow design and optimization.
• Proficiency in Python, SQL, and R for data manipulation and analysis.
• 3+ years of experience in pharma, healthcare, or biotech domains.

Responsibilities

• Collaborate with teams to deliver scalable data solutions.
• Develop workflows and automated data pipelines for data extraction.
• Analyze large datasets to identify trends and actionable insights.

Skills

Dataiku

Python

SQL

R

Power BI

Analytical Skills

Project Management

Communication Skills

Collaboration Skills

Education

Bachelor’s degree in Science, Mathematics, or Engineering

Master’s in Biotechnology, Bioinformatics, Computer Science, or Engineering

Tools

AWS

Snowflake

Jira

MS Project

SharePoint

Power Apps

Job description

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 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., Snowflake, Power Platform, JMP, MATLAB).

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.