LP
Senior Data Scientist
LinkedIn Recruiter Post
Senior Data Scientist needed for hybrid role in Toronto/Vancouver. Must have Python, ML, DL, NLP, GenAI, and cloud skills.
About the role
- Senior Data Scientist II driving AI for Analytics at Instacart. Utilizing data to enhance product features and collaborating with cross-functional teams.
Responsibilities
- 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.
Requirements
- 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).
Benefits
- 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.
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