InstacartHire With Rapha

Data Scientist 🥕

Canada 🇨🇦full-time$117K - $150K CAD

Benefits

Competitive payDesk setupUnlimited PTO401K matchGym StipendLearning StipendPaid Parental LeaveMacBook Pro + AccessoriesHealth CoverageFree Instacart

About company

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community.

We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

About the role

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Audio to the job description allows recruiters to engage candidates more personally by having hiring managers verbally sell the role and address FAQs without leaving their home. This approach lets managers explain the daily expectations, team dynamics, projects, and excitement of joining NINSCAR. Traditionally, recruiters would copy and paste job descriptions, leaving explanations for calls. However, innovative companies like Linktree and DoorDash are having founders and hiring managers create personalized audio job descriptions. This means candidates can listen rather than read, providing a more engaging recruitment experience.

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

  • Own analytical frameworks that guide the product roadmap
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions
  • Develop statistical models to extract trends, measure results, and predict future performance of our product
  • Build simulations to project impact of various product and policy interventions
  • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
  • Present findings in a compelling way to influence Instacart’s leadership


About the team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

About you

Minimum Qualifications

  • 2+ years experience working in a quantitative role at a product company or a research organization
  • Ability to run rigorous experiments and come up with scientifically sound recommendations
  • Ability to write complex, efficient, and eloquent SQL queries to extract data
  • Ability to write efficient and eloquent code in Python or R
  • A desire to build and improve consumer software products
  • Ability to translate business needs into analytical frameworks
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

 

Preferred Qualifications

  • Awareness of business trade offs when working on a multi-sided marketplace 
  • Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field