74 Data Innovation jobs in Canada

Huawei Canada has an immediate permanent opening for a Senior Researcher.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

• Track the emerging technical trends and developments for big data and AI systems in both industry and academia, conduct in-depth insight and survey analysis, and identify the direction of key cutting-edge technologies for AI-powered big data systems.

• Collaborate closely with stakeholders to comprehend their business needs thoroughly. Translate these requirements into innovative and effective technology solutions that align with organizational objectives.

• Analyze and define key software requirements and features, develop the proof-of-concept (PoC) AI-powered big data system infrastructure (based on our existing infrastructure) and optimize its performance and performance per cost.

• Integrate the PoC system into our existing product and deliver it to the production team.

• Generate intellectual property such as patents and trade-secrets from research findings, and/or publish papers in peer-reviewed scientific journals/conferences.

• Present research findings at conferences and participate in research collaborations with external research institutes and universities.

Job Description

Salary:

Who We Are

Trusscoreis a material science company for sustainable building materials. We are revolutionizing the way people build, with the ultimate vision of creating a market leading, sustainable, branded, true painted-drywall-alternative. Trusscore invests heavily in R&D to discover breakthroughs in materials and manufacturing processes, advancing the state-of-the-art in science and technology along the way.

Become part of a passionate, innovative team focused on reshaping the future of building materials. We offer a dynamic, flexible work environment, opportunities for personal and professional growth, and the chance to make a tangible impact in an established, fast-growing company with a focus on sustainability and innovation.

Your Mission

Trusscore is redefining building-product manufacturing through digitization, advanced automation, and AI-enhanced process control and detection. Your mission as a data analytics leader is to convert data from ERP, proprietary applications, SCADA feeds, and real-time ML models into decisive insights that drive a business impact.

Youll inject the analytical firepower to an experienced team of industrial engineers, mechatronics, and controls engineers to develop and deploy powerful analytics tools to pinpoint and unlock value creation and value capture opportunities that efficiently scale Trusscores manufacturing and operations.

As a data technology leader, you will apply your expertise in data engineering, analytics, and visualization. You will maintain and build upon our custom data collection platform, build models and automated dashboards in cloud-based business intelligence tools, and analyze manufacturing data to identify and drive efficiency improvements.

You will closely collaborate cross-functionally with Manufacturing, Quality, Marketing and IT, and external parties
to enhance our data infrastructure. Your work will be critical to creating the digital backbone enabling Trusscores manufacturing innovations.

This role demands both strategic thinking and hands-on execution. Youll leverage your knowledge in data modeling, systems integration, and process analytics while continuing to grow your skills in cloud architecture, automation, and operational intelligence. Your success will be measured by timely delivery of data tools that are accurate, accessible, and impactful for decision-making across the business.

Join us and help shape the future of building materials - through data.

Responsibilities

• Lead the development of Trusscores data infrastructure to support real-time manufacturing insights and data-driven decision-making.

• Design and maintain scalable data pipelines and integrations between MS SQL Server, Power Apps, ERP systems (e.g., NetSuite), SCADA platforms (e.g., Ignition), and manufacturing equipment.

• Build interactive dashboards and automated reports using Power BI, Oracle Analytics, and NetSuite Analytics Warehouse to enable performance monitoring and process optimization.

• Develop and maintain SQL and Python-based data transformation workflows to standardize, clean, and model raw data for downstream analysis.

• Automate repetitive data tasks and manual processes using tools such as Power Automate, Celigo, or custom scripts in Python or JavaScript.

• Identify opportunities to improve production efficiency, quality, and throughput by analyzing large, complex data sets from various manufacturing systems.

• Work with peers to define the governance of data architectures for consistency and reliability; accelerate growth by co-creating a playbook to standardize the design, approval, and deployment of analytics tools and practices.

• Apply basic machine learning frameworks (e.g., TensorFlow, Scikit-learn) for predictive modeling and advanced analytics use cases, where applicable.

• Lead continuous improvement projects that evolve our data platform capabilities, support digital transformation, and unlock new levels of operational intelligence.

Qualifications & Skills

• Bachelors or Masters degree in Mechatronics, Systems Design, Software, Computer, Management engineering disciplines or Mathematics (or equivalent experience)

• Minimum 3 years of experience as a Data Analyst, Data Scientist, or Industrial Engineering

• Familiarity working in an Industrial or Manufacturing environment

• Self-starting, team player, organized and detail oriented

• Data Management & Programming: Required: Database infrastructure/hosting architecture,SQL, Python; Desired: Java, C++, React, Node.js, Celigo, JSON, REST API

• Microsoft 365 Apps: Required: Teams, Excel; Desired: Power Apps, Power Automate

• Business Intelligence: (Power BI, Oracle Analytics, NetSuite Analytics Warehouse (NSAW))

• Knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Apache Spark,Scikit-learn, etc.)

• Familiarity with ERP systems (NetSuite)

Other preferred qualifications:

• Understanding of basic networking protocols and network infrastructure technologies (IP, LAN, Routing, VPN, DNS, etc.)

• Understanding of SCADA system (Ignition)

• Machine Data Integration & Manufacturing Execution System

• Web App Developer (Frontend & Backend)

Location; Travel

• Hybrid working from the office in Kitchener, ON (The Tannery Building) and from home

• Occasional travel may be required to support offsite activities with third party vendors, contractors, other Trusscore facilities, or for other business reasons

Job Description

About Pillway

Pillway is transforming the digital pharmacy experience through data and innovation. As Director of Data & Analytics, you will lead our data strategy, infrastructure, and insights to support business growth and operational excellence across our healthcare platform.

We are looking for an experienced and strategic Director of Data & Analytics to lead our data function end-to-end. This person will oversee data infrastructure, governance, and analytics while driving business impact through data-informed decisions. This role blends deep technical expertise with strong business acumen and stakeholder management.

• Lead the vision, strategy, and execution of Pillway’s data and analytics function.

• Build and manage modern data infrastructure using tools such as Snowflake, MS Fabric, Databricks, Power BI, etc.

• Partner cross-functionally (Product, Marketing, Operations, Pharmacy) to drive data initiatives and KPIs.

• Design and implement data governance and compliance frameworks (PHIPA, HIPAA, PIPEDA).

• Oversee the development of dashboards, data products, and reporting layers for internal and external use.

• Guide the integration of data across APIs, cloud services, CRM, and pharmacy systems.

• Enable self-serve analytics capabilities for business teams.

• Manage and mentor a team of data engineers and analysts.

• Lead the evaluation and adoption of AI/ML use cases to enhance personalization, predictive analytics, and operational efficiency.

• 5+ years of experience in data engineering, analytics, or related leadership roles.

• Proven ability to architect and scale modern data platforms (e.g., Snowflake, MS Fabric, dbt, Airflow, Power BI).

• Strong knowledge of data modeling, warehousing (ELT/ETL), and data lakes.

• Experience with Python, SQL, APIs, and orchestration tools.

• Track record of aligning data strategy with business goals and delivering measurable results.

• Familiarity with regulatory and privacy frameworks (PHIPA, PIPEDA, HIPAA).

• Excellent communication, stakeholder engagement, and leadership skills.

• Prior experience in health tech, pharmacy, or other regulated industries.

• Exposure to AI/ML pipelines and model deployment strategies.

• Experience with Microsoft Fabric or Azure Synapse Analytics.

• Be part of a purpose-driven mission to modernize healthcare.

• Collaborate with an experienced leadership team that values innovation and impact.

• Flexible hybrid work culture.

• Competitive compensation and potential participation in our Employee Stock Option Plan.

• Opportunity to shape a high-growth data function from the ground up.

  
  Interview Process

1. Initial Screening: Shortlisted candidates will be contacted by our Head of Development for the first interview.

2. Leadership Meet-and-Greet: Successful candidates will have a 30-minute interview with our CEO, offering a unique opportunity to understand our vision directly from the top.

3. Cross-Functional Team Interview: Engage with various team members across the organization to ensure a mutual fit.

4. Final Steps: The ideal candidate will be selected after a comprehensive review. We are an equal opportunity employer and will reach out to those who best fit the qualifications for this role.

Join us at Pillway for a chance to shape the future of digital healthcare, where your work impacts lives daily, and innovation meets inclusivity.