Senior ML Data Analyst

3 weeks ago

Toronto, Canada AssistIQ Full time

Who We Are
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.
LOCATION
Remote
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.

What You Will Be Doing
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
Requirements
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

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