Senior ML Data Analyst


At AssistIQ we are dedicated to providing healthcare providers with an easy way to

generate accurate data and insights on their supply usage to improve their value of

care, reduce waste and carbon footprint. We’re building an AI-driven software

platform that provides seamless tracking, real-time visibility and actionable insights to

healthcare systems, while improving efficiency for multiple teams.



AssistIQ is looking for team members who share our values:

  • Customer Centricity: We actively learn about our customers’ pain points to understand their needs and deliver technology solutions that exceed their expectations. Customer satisfaction is our ultimate measure of success.
  • Transparency & Inclusivity: We act with integrity, creating space for new ideas and sharing information about our progress, challenges, and decision-making processes.
  • Agility & Flexibility: We iterate with speed, challenging the status quo and seeking continuous improvement to respond to our customer needs and market changes. 
  •  Accountability and Collaboration: We foster a culture of responsibility and display curiosity, grit and passion to achieve our objectives, individually and as a team.
  • Social Responsibility: We prioritize environmental impact by making responsible choices and developing products that make the healthcare industry more sustainable. 


In the role of Senior ML Data Analyst, you are key in linking our customers, our data science team and our product management team.

As a Senior ML Data Analyst, you will:

  • understand our customers varied data pain points and blindspots
  • leverage our data products to answer customer queries
  • provide guidance to our data science team to build better data products
  • develop, manage and build data pipelines, visualizations and ML models with our data science team
  • collaborate with our product management team to develop new data products
  • collaborate with our customer operations team to deploy new data products

We’re excited by candidates who enjoy and are capable of working in a fast-growing

entrepreneurial environment. Your ultimate goal is to ensure we build new functionality in a pragmatic, scalable and manageable way.

To be successful, you will have to be able to juggle responsibilities in parallel, prioritize competing deliverables efficiently, communicate effectively across the organization and be driven by continuous incremental improvement.

We would expect you to be knowledgeable, articulate, sensible, able to coordinate with other peers and senior executives, and collaborate and deliver results in a fast-paced environment where teamwork, professionalism, confidentiality, and communication are essential.

What you will do:

  • Analyze, visualize and understand customer data sets
  • Analyze and leverage AssistIQ’s data products to provide insights to customers
  • Work with the AssistIQ’s data science team to develop new models, insights and dashboards
  • Work with the product management team to build new data products
  • Collaborate with the customer team to deliver insights to our customers
  • Analyze current technology/processes used for the company’s data products and develop strategies to improve and expand upon them. 
  • Participate in writing and maintaining technical documentation

Participate in planning out platform product features and development projects


What you bring:

  • 5+ years’ experience in a hands-on data analytics or data science role
  • Experience with writing and troubleshooting SQL statements
  • Experience inferring, refining and sharing data insights to technical and non technical users across an organization
  • Experience processing data and training models using a Python development stack
  • Experience using visualization platforms (e.g. PowerBI, Tableau etc)
  • Experience with data visualization techniques (e.g. matplotlib routines including t-sne and/or umap) or rapid prototyping tools (eg: streamlit)
  • Knowledge of data pipelines and ETL platforms such as DBT an asset
  • Working understanding of machine learning ideas and language.
  • Familiarity with cloud-based AI/ML services an asset
  • Experience writing user stories an asset
  • Experience in working with large datasets; supply chain data sets an asset
  • Experience in the life science, healthcare or technology industry an asset
  • Excellent oral and written communication skills in English
  • French oral and written communication skill is an asset
  • Legally entitled to work in Canada