Senior Data Scientist II – AI for Analytics

. You would be responsible for driving AI for Analytics data science work which includes: .

Posted 4/6/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$192,000 - CA$202,500 per yearWebsite

Tools & technologies

FlaskPandasPythonPyTorchScikit-LearnSQL

Key responsibilities & impact

You would be responsible for driving AI for Analytics data science work which includes:
Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
AI expertise: You will be using and deploying a variety of AI systems in production settings.
Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods.
Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
Create the product roadmap.
Ruthlessly prioritize among requests from multiple competing stakeholders.
Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals.

What you’ll need

6+ years of work experience in a data science or related field
Have deeply engaged with AI workflows
Expert in Python (pandas), SQL, git, and Jupyter notebooks
Strong statistical and analytical skills
Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed.
8+ years of work experience in a data science or related field (preferred)
Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team (preferred)
Significant causal experimentation experience (preferred)
Built a complex machine learning or statistical model and deployed/supported it in production (preferred)
Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks (preferred).

Comp & perks

Instacart provides highly market-competitive compensation and benefits in each location where our employees work.
This role is eligible for a new hire equity grant as well as annual refresh grants.
Please read more about our benefits offerings here.

ATS Keywords

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Hard Skills & Tools

data scienceAI workflowsPythonSQLstatistical methodsmachine learningdata engineeringanalytical skillscausal experimentationproduct strategy

Soft Skills

cross-functional leadershipprioritizationstakeholder managementteam alignmentcommunication