Canada - Remote (ON•Posted: Jun 24•Deadline: Aug 17
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. Learn more about our flexible approach to where we work.
OVERVIEW
Instacart’s Marketing Data Science and Analytics team partners across Marketing, Strategic Finance, and Product to power
data-driven growth. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing
performance across channels, helping Instacart make smarter investment decisions and accelerate customer acquisition and
retention.
This is a high-impact, high-visibility role on a small, focused team where you will own complex, zero-to-one measurement
initiatives and scale proven solutions. You will collaborate closely with channel marketers, growth leaders, finance partners, and
data engineers to deliver models and experimentation frameworks that inform multi-million-dollar decisions. If you thrive in a
fast-paced environment that still moves like a startup—and you love rolling up your sleeves to turn ambiguous questions into clear
recommendations—this role is for you.
You’ll join a tight-knit immediate team of 5 within a broader 9-person marketing data science org, where there is real scope to
set the bar for analytical rigor, build systems that last, and influence the roadmap. Come help us go far together by solving
complex problems that grow the pie for our customers, retailers, and partners.
ABOUT THE JOB
* Own the end-to-end marketing measurement strategy across paid search, paid social, display, affiliates, CTV, and lifecycle/CRM,
unifying MMM, MTA, and incrementality testing to guide channel and portfolio-level investment.
* Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference studies that quantify lift,
inform targeting, and establish best practices for decision-making under uncertainty.
* Build and productionize predictive models (e.g., LTV, churn/propensity, audience response, budget allocation) using SQL and
Python or R, partnering with data engineering to automate pipelines and ensure data quality.
* Create executive-ready dashboards and narratives in tools like Looker or Mode that track KPIs, explain performance drivers, and
translate insights into clear, prioritized recommendations.
* Partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes;
influence roadmaps and present findings to VP+ stakeholders.
* Prioritize ruthlessly in a dynamic environment, managing multiple concurrent projects and elevating the team’s analytical bar
through peer reviews, documentation, and mentorship.
ABOUT YOU
MINIMUM QUALIFICATIONS
* 6+ years of experience in marketing analytics or data science within technology, e-commerce, marketplace, or consumer
subscription businesses.
* Advanced proficiency in SQL and in either Python or R for data manipulation, statistical analysis, and modeling.
* Hands-on experience designing and analyzing marketing experiments (e.g., A/B tests, geo experiments, holdouts) and applying
causal inference techniques to estimate incrementality.
* Proven track record implementing at least one marketing measurement approach (e.g., MMM, MTA, or structured incrementality
testing) to inform budget allocation for multi-million-dollar programs.
* Experience building business-facing dashboards and self-serve tools in Looker, Tableau, or Mode.
* Experience working with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and version control (Git).
* Demonstrated ability to translate ambiguous business questions into analytical roadmaps and to communicate clear, actionable
recommendations to non-technical and executive audiences.
* Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or
equivalent practical experience.
PREFERRED QUALIFICATIONS
* 8+ years of relevant experience; advanced degree (MS/PhD) in a quantitative discipline.
* Experience building, validating, and operationalizing Marketing Mix Models (preferably Bayesian approaches using PyMC, Stan, or
similar) and triangulating MMM with experiment results.
* Familiarity with privacy-conscious measurement (e.g., conversion modeling, SKAN, clean rooms such as Amazon Marketing Cloud or
Ads Data Hub) and ad platform APIs.
* Experience with analytics engineering and pipeline tooling (e.g., dbt, Airflow) and strong data QA practices.
* Background in lifecycle/CRM analytics (e.g., uplift modeling, audience selection, message experimentation) and LTV forecasting.
* Exposure to experimentation platforms and feature flagging (e.g., Optimizely or internal frameworks) and to ML applications for
bidding, pacing, and creative optimization.
* Experience mentoring peers and elevating analytical standards through code reviews, reproducible research, and documentation.
#LI-Remote
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. Please review our Flex
First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and
Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is
eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$168,000—$177,500 CAD
United States - Remote•Posted: Jun 26•Deadline: Aug 17
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. Learn more about our flexible approach to where we work.
Overview
This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the
L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. 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. At the bottom of this posting, you’ll find a breakdown of the currently open
roles.
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 products.
* Build simulations to project the 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 of experience working in a quantitative role at a product company or a research organization.
* Ability to run rigorous experiments and generate 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 a dynamic environment, and a growth mindset 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 (e.g., Product, Engineering) at a senior level.
* MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
Currently Opened Roles
Order Experiences (Search) | Sr. Data Scientist I (L5/6)
The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete
their order with confidence. As a Senior Data Scientist, you’ll own the analytics and experimentation strategy that powers how we
interpret customer intent and surface the most relevant results—driving search conversion, order rate, and GTV. You’ll partner
closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments
across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.
Ecosystems | Sr. Data Scientist II (L6)
The Ecosystems team tackles some of Instacart’s most strategic macro-level analytical challenges, including quantifying the impact
of economic trends, competitive dynamics, and seasonality on core business metrics. As a Senior Data Scientist II, you’ll own
time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and
build AI tooling to scale analytics workflows across the team. This role also carries a technical leadership dimension—you’ll set
the methodological bar, mentor peers, and review analyses to drive rigor across the organization.
Delivery | Sr. Data Scientist II (L6)
The Delivery team is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from
capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you’ll identify strategic
opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and
leverage geospatial data and advanced analytical techniques to optimize logistics. You’ll also proactively identify high-risk
delivery scenarios and develop solutions to the underlying systemic issues that drive them.
Marketing | Sr. Data Scientist I (L5)
The Marketing Data Science team is responsible for measurement and optimization across Instacart’s paid digital channels,
including search, shopping, display, social, and video. As a Senior Data Scientist, you’ll build and maintain sophisticated
attribution models—including multi-touch and incrementality-based approaches—and develop scalable data pipelines to turn raw
marketing data into clean, analysis-ready datasets. You’ll apply causal inference methods such as geo holdouts and
difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business
teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across
acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform
budget allocation and growth strategy
#LI-Remote
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. Please review our Flex
First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is
eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$194,000—$230,000 USD
WA
$185,000—$220,500 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$177,000—$211,000 USD
All other states
$161,000—$192,000 USD
Canada - Remote (ON•Posted: Jun 26•Deadline: Aug 17
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. Learn more about our flexible approach to where we work.
Overview
This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the
L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. 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. At the bottom of this posting, you’ll find a breakdown of the currently open
roles.
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 products.
* Build simulations to project the 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 of experience working in a quantitative role at a product company or a research organization.
* Ability to run rigorous experiments and generate 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 a dynamic environment, and a growth mindset 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 (e.g., Product, Engineering) at a senior level.
* MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
Currently Opened Roles
Order Experiences (Search) | Sr. Data Scientist I (L5/6)
The Order Experiences (Search) team is focused on making it fast and effortless for customers to find the right items and complete
their order with confidence. As a Senior Data Scientist, you’ll own the analytics and experimentation strategy that powers how we
interpret customer intent and surface the most relevant results—driving search conversion, order rate, and GTV. You’ll partner
closely with Product, Engineering, and ML to shape the roadmap for search relevance and ranking quality, running experiments
across retrieval, ranking, and search UX while connecting offline model evaluation to real-world business outcomes.
Ecosystems | Sr. Data Scientist II (L6)
The Ecosystems team tackles some of Instacart’s most strategic macro-level analytical challenges, including quantifying the impact
of economic trends, competitive dynamics, and seasonality on core business metrics. As a Senior Data Scientist II, you’ll own
time-series forecasting for key business outcomes, develop measurement frameworks for evaluating competing growth initiatives, and
build AI tooling to scale analytics workflows across the team. This role also carries a technical leadership dimension—you’ll set
the methodological bar, mentor peers, and review analyses to drive rigor across the organization.
Delivery | Sr. Data Scientist II (L6)
The Delivery team is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from
capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you’ll identify strategic
opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and
leverage geospatial data and advanced analytical techniques to optimize logistics. You’ll also proactively identify high-risk
delivery scenarios and develop solutions to the underlying systemic issues that drive them.
Marketing | Sr. Data Scientist I (L5)
The Marketing Data Science team is responsible for measurement and optimization across Instacart’s paid digital channels,
including search, shopping, display, social, and video. As a Senior Data Scientist, you’ll build and maintain sophisticated
attribution models—including multi-touch and incrementality-based approaches—and develop scalable data pipelines to turn raw
marketing data into clean, analysis-ready datasets. You’ll apply causal inference methods such as geo holdouts and
difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business
teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across
acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform
budget allocation and growth strategy
#LI-Remote
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. Please review our Flex
First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and
Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is
eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$161,000—$202,500 CAD
