Senior Data Scientist

Instacart; Canada; Remote; CAD 158,000 - 175,000; Full time

Job summary

A leading grocery technology company is seeking experienced Senior Data Scientists to join their innovative team. This role offers the opportunity to tackle impactful problems in the grocery industry and contribute to product improvements. The ideal candidate has over 5 years of experience in a quantitative role and is proficient in SQL and Python. This position is remote and provides competitive compensation between $158,000 and $175,000 CAD.

Benefits

Market-competitive compensation

Flexible working hours

Professional development opportunities

Qualifications

• 5+ years experience in a quantitative role.
• Ability to write complex SQL queries.
• Eagerness to learn and adapt in a dynamic environment.

Responsibilities

• Own analytical frameworks guiding the product roadmap.
• Design experiments and interpret results.
• Develop statistical models to extract trends.

Skills

Data analysis

SQL

Python

Machine learning

Causal inference

Problem-solving

Education

MS/PhD in Statistics, Economics, or Applied Mathematics

Tools

R

Job description

We're transforming the grocery industry

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.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

OVERVIEW

About the Role

This is a general posting for multiple Senior 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.

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.

ABOUT THE JOB

• 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 YOU

Minimum Qualifications

• 5+ 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

Open Roles

Caper Team

Join Caper, where we’re revolutionizing in-store grocery shopping in the AI era. This is your chance to contribute to a transformative initiative, shaping the future of retail alongside executives at the cutting edge of technology. In this role, you’ll measure the impact of the Caper cart’s design and functionality, directly influencing product strategy and driving innovation in the next generation of shopping solutions.

Foundations Team

Join the Foundations Data Science team in an infrastructure-focused role, where you’ll drive innovation and provide expert support for company-wide experimentation at Instacart. In addition to being the go-to resource for experimentation success, you’ll play a pivotal role in optimizing data modeling and improving pipelines owned by Data Science.

Ads Formats

Join Instacart’s Ads Data Science team, where your expertise will drive innovation across auctions, ranking, and ad formats. Use advanced analytics, build models, design experiments, and create tools to uncover opportunities, measure success, and guide the product roadmap.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. For Canadian based candidates, the base pay ranges for a successful candidate are $158,000 — $175,000 CAD.