Company Overview
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
The Ads Auctions team is responsible for innovating and enhancing auction mechanisms to create a competitive and transparent marketplace that benefits both advertisers and consumers. We focus on the full auction workflow—candidate filtering, pricing strategies, bid optimization, and selection processes—with the goal of balancing user experience with advertiser value. As a Senior Data Scientist on this team, you will be a core technical voice shaping how our auction systems evolve, driving improvements to our CPC (cost-per-click) infrastructure and bidding algorithms that directly impact advertiser performance and Instacart's ads revenue.
About the Job
Design and own analytical frameworks that guide the evolution of our auction and bidding systems, including CPC pricing, bid landscape modeling, and reserve price optimization.
Run rigorous experiments to evaluate the impact of auction mechanism changes—such as bid shading, second-price vs. generalized second-price auctions, and dynamic pricing—and translate results into actionable recommendations.
Develop statistical and machine learning models to forecast bid distributions, predict click-through rates, and optimize auction efficiency across advertiser and consumer dimensions.
Build simulations to model auction dynamics and stress-test proposed mechanism changes before live deployment.
Partner closely with Engineering, ML, and Product to translate business and advertiser needs into well‑specified model and system requirements.
Enable objective decision-making by building dashboards and monitoring frameworks that surface auction health, advertiser performance, and CPC trends to stakeholders across the organization.
Apply expertise in causal inference, mechanism design, and econometrics to ensure our auction systems are fair, efficient, and aligned with marketplace goals.
Present analytical findings and strategic recommendations in a compelling way to influence Instacart's leadership and Ads go‑to‑market teams.
Minimum Qualifications
5+ years of experience working in a quantitative role at a product company or research organization, with meaningful exposure to ads, auctions, or marketplace pricing systems.
Hands‑on experience with auction mechanics, CPC or CPM bidding systems, bid optimization, or related ad monetization problems.
Ability to run rigorous experiments and generate scientifically sound recommendations in the context of auction or pricing changes.
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 and advertising platforms.
Ability to translate business needs—from both advertiser and marketplace perspectives—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
Deep familiarity with auction theory, mechanism design, or algorithmic pricing (e.g., generalized second-price auctions, VCG, bid shading, reserve pricing).
Experience building or analyzing CPC/CPM bidding systems, budget pacing, or bid landscape models at scale.Awareness of business trade‑offs when working on a multi‑sided marketplace, particularly the interplay between advertiser ROI, consumer experience, and platform revenue.
Confidence in collaborating with and influencing cross‑functional stakeholders (e.g., Product, Engineering, Sales) at a senior level.
MS/PhD in Statistics, Economics, Operations Research, Applied Mathematics, Computer Science, or a related field.
#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 — $170,000 CAD
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Overview
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. 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 with a flexible approach to where we work — from home, an office, or your favorite coffee shop — while staying connected through regular in-person events.
About The Role
Are you ready to take your development skills to the next level? We\'re looking for a Senior Software Engineer to join our Ads team. You\'ll play a critical role in the evolution of our Ads suite and help build world-class reporting solutions across various platforms, ensuring that advertisers and retailers receive timely, accurate, and actionable data insights. By working closely with Product Designers, Product Managers, Data Scientists, Machine Learning Engineers, and other cross-functional partners, you\'ll contribute to the advancement of our Ads suite and guarantee a seamless flow of data to our users.
The Instacart Ads team is at the forefront of refining our Ads products and supporting infrastructure, so your work will directly enhance our capability to process petabyte-scale data and deliver reports essential for billing, strategic decision-making, and partner management. Our products are used by millions of people every year. To meet–and exceed–expectations we are rapidly improving and modernizing our ads platform, helping raise the quality bar for our products across the entire organization.
About The Team
The Ads team is a diverse group of spirited and highly-dedicated engineers focused on crafting and delivering comprehensive reporting solutions to our advertisers and retailers. We thrive on dynamic challenges and maintain scalable and fault-tolerant metrics delivery systems. We value open and candid collaboration where everyone\'s views matter, allowing us to continuously innovate and make a substantial impact to the digital advertising industry through our work. Our tech stack includes Rails, Go, DBT, Airflow, Scala, Apache Spark, Databricks, Delta Lake, Snowflake, Python and Terraform.
If you\'re a detective at heart, love solving complex problems, and are passionate about the intersection of data and technology, you\'ll fit right in.
Current Hiring Teams
Ads Measurement & Data: Our cutting-edge data team builds scalable ETLs and the underlying architecture and platform to support billing, attribution, spam detection, and more. We use Scala-Spark, Airflow, DBT, Python, and Go to meet cross-functional needs and shape our data strategy.
Advertiser Optimization: We power Instacart\'s advertising business with innovative solutions that maximize ad performance and deliver measurable value to partners. The team uses advanced algorithms, machine learning, and a robust data ecosystem to drive revenue growth and advertiser success.
Minimum Qualifications
Bachelor\'s degree or higher in Computer Science, Software Engineering, or a related field, or equivalent proven industry experience (4+ years).
5+ years of experience in software engineering.
Comprehensive understanding of distributed systems, experience with data processing technologies such as DBT and Airflow and web frameworks such as Rails.
Highly proficient with SQL, capable of writing and reviewing complex queries for data analysis and debugging.
Ability to design for scale with the entire system in mind.
Strong communication skills and comfort seeking and receiving feedback.
Analytical and debugging skills with a strong sense of ownership working with a large codebase.
Collaborative mindset to partner with engineers, designers and PMs from multiple teams to co-create impactful solutions while supporting system contributions.
Strong organizational skills with the ability to communicate and present ideas clearly to stakeholders at multiple levels.
Preferred Qualifications
Prior work experience in the digital advertising industry.
Experience with big data technologies such as Spark, Hadoop, Flink, Hive or Kafka, and with both streaming and batching data pipelines.
Proven experience with distributed system design.
Strong general programming and algorithm skills.
Attention to detail and accuracy in implementation, with a keen eye for edge cases and code reviews.
Data-driven mindset.
Instacart provides highly market-competitive compensation and benefits. This role is remote and the base pay range depends on location. We are currently hiring in Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on experience and skills. This role is eligible for a new hire equity grant as well as annual refresh grants. For Canadian candidates, the base pay ranges are listed in CAD.
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A leading grocery delivery service is seeking an experienced Data Science Manager to lead a high-performing team. You will define metrics and drive analytics strategies across various consumer journeys, focusing on improving conversion and customer satisfaction. Ideal candidates have over 6 years of experience in data science, including management in fast-paced settings. This role offers remote flexibility and competitive compensation in Canada, with base pay ranging from CAD $192,000 to $202,500. #J-18808-Ljbffr
Overview
Instacart is transforming the grocery industry. We invite the world to share love through food because everyone should have access to the food they love and more time to enjoy it together. We deliver an essential service that customers rely on to get their groceries and household goods, while offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart is a Flex First team, with flexibility to choose where to work—home, office, or a favorite coffee shop—while staying connected through regular in-person events.
Instacarts Shopping Experience team, part of the Shopping org within Core Experience, owns the end-to-end consumer journey with a single retailer—from storefront and browse, through search and item discovery, into cart and checkout, and to the order status page. We’re focused on building intuitive, data-informed experiences that help customers find what they love, faster. This is a fast-paced environment with evolving priorities and complex tradeoffs across Enterprise, Lifecycle, Category Growth, and Foundations work.
We’re looking for a Data Science Manager to lead a team of data scientists and shape the analytics and experimentation strategy across critical shopper surfaces including storefront, browse/aisles, search, cart, checkout, OSP, Family, Lists, and Meals/Health. You’ll collaborate with Product, Engineering, Design, and Operations to define metrics, design robust experiments, and deliver insights that drive conversion, retention, and satisfaction while delivering value for retailers and data-grounded AI features.
If you’re ready to do the best work of your life, come join our table.
About The Job
Lead, mentor, and grow a high-performing team of data scientists; set clear priorities, uphold technical excellence, and develop career paths.
Define and own the analytics and experimentation strategy across storefront, browse/aisles, search, cart, checkout, OSP, Family, Lists, and Meals/Health—covering metrics, guardrails, instrumentation, and experiment best practices.
Own core shopping metrics and event logging; improve data quality, build reusable dashboards/tools, and ensure reliable, timely insights for decision-making.
Drive “DS understand projects” that uncover friction in shopping funnels; scope root-cause analyses and partner with PM and Eng to prioritize and ship fixes that move conversion and retention.
Partner as a thought leader with Product and Engineering leadership to shape roadmaps, make tradeoffs across Enterprise, Lifecycle, Category Growth, and Foundations work, and ensure goals are measurable and achievable.
Set the bar for experiment design and readouts; coach teams on hypothesis formation, sampling, power analysis, metric selection, and clear storytelling of results and implications.
Collaborate with ML partners on ranking, recommendations, and personalization initiatives, aligning offline/online evaluation with business outcomes and shopper experience goals.
Influence and improve cross-functional rituals (e.g., experiment reviews, prioritization forums) to increase speed, rigor, and learning across the organization.
Ensure AI/agentic features are grounded in robust data and measurement frameworks, with clear definitions of success and long-term impact.
About You
Minimum Qualifications
6+ years of experience in data science or analytics, including 2+ years directly managing or tech-leading a data science team in a fast-moving environment.
Proven track record optimizing consumer app experiences at scale (e.g., funnels, ranking, personalization, experimentation) in technology or similar product-led organizations.
Deep hands-on expertise in experimentation and measurement, including A/B testing, guardrails, metrics design, and logging/event instrumentation.
Strong analytical and technical skills with proficiency in SQL and Python or R.
Experience translating ambiguous customer and retailer problems into clear metrics, analyses, and experiment roadmaps that drive measurable outcomes.
Demonstrated cross-functional leadership with Product, Engineering, Design, and Operations; able to influence roadmaps and drive alignment without formal authority.
Track record as a data quality champion—improving instrumentation, building reusable dashboards/tools, and advocating for rigorous yet pragmatic decisions.
Excellent communication and storytelling skills; able to explain complex tradeoffs and experiment results to non-technical partners and senior stakeholders.
Preferred Qualifications
Experience in e-commerce, marketplaces, or consumer mobile apps, especially in grocery/retail or multi-retailer environments.
Background in ranking, recommendation, or personalization systems (e.g., search, recommendations, or personalization platforms) and their evaluation.
Prior experience standing up or scaling experimentation programs, including tiering, experiment review forums, guardrails, or governance.
Experience leading or partnering closely with ML teams on production models and offline/online evaluation strategies.
Success operating in a highly cross-functional, matrixed organization and influencing director+ and VP+ stakeholders.
Experience defining metric frameworks for complex, multi-surface journeys (e.g., friction metrics, “bad shopping paths,” long-term outcomes).
Familiarity with GenAI and AI-assisted workflows (e.g., using LLMs for analytics, experimentation tooling, or product features).
Track record of building data science culture through mentoring, best practices, and process improvements.
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 $192,000—$202,500 CAD
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A leading technology company is seeking a seasoned data science expert to drive AI for Analytics initiatives. The ideal candidate has over 6 years of experience and deep engagement with AI workflows. Responsibilities include improving product features using intelligent systems and leading cross-functional teams. This remote role offers competitive compensation, with a salary range of $192,000 – $202,500 CAD, based on location within Canada. Join a forward-thinking team committed to utilizing AI to enhance product functionalities. #J-18808-Ljbffr
OVERVIEW
Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self‑serve most analytics questions.
ABOUT THE JOB
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.
The role requires strong XFN collaboration where an ideal candidate can:
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.
QUALIFICATIONS
Minimum Qualifications
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
Preferred Qualifications
8+ years of work experience in a data science or related field
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
Significant causal experimentation experience
Built a complex machine learning or statistical model and deployed/supported it in production
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
#LI-remote
Benefits & Compensation
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 are $192,000 – $202,500 CAD. This role is eligible for a new hire equity grant as well as annual refresh grants. Currently hiring only in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
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Lead transformative pricing initiatives as Director of Pricing Strategy. Innovate frameworks and strategies that enhance retailer relationships and business outcomes in a flexible remote environment.
This essential role focuses on integrating comprehensive pricing strategies to maximize profitability for a range of product offerings. By working cross-functionally, you will identify and implement market-driven solutions tailored to diverse retailer needs. Your leadership will be critical in fostering partnerships while executing innovative pricing models based on robust financial analysis and market research.
Key Responsibilities:
• Spearhead pricing strategy development across product lines
• Optimize scalable packaging frameworks for retailers
• Collaborate with Product and R&D on model definitions
• Conduct ongoing market research to adapt pricing strategies
• Implement go-to-market pricing initiatives and frameworks
Requirements:
• Minimum of 8 years in pricing strategy or strategic finance
• Track record of successful pricing execution
• Strong analytical skills for pricing modeling
• Exceptional leadership and communication capabilities
• Experience with pricing governance frameworks
Enhance profitability and value delivery for retail partners through strategic pricing and innovative solutions.
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Overview
We’re looking for a Strategic Finance Analyst, Product Finance to join Instacart’s Strategic Finance team supporting Instacart Ads and Enterprise SaaS business units. You’ll help shape the next phase of growth at Instacart ads by partnering on our most critical initiatives, building business cases and P&L models, and translating insights into decisions that move the business forward.
In this role, you’ll partner closely with Ads Product, Carrot Ads, and our enterprise SaaS team to connect strategy to financial outcomes, prioritize initiatives, and deliver crisp, executive‑ready narratives. If you enjoy rolling up your sleeves, collaborating across functions, and using data to influence strategy in a fast‑paced environment, this role offers meaningful scope and visibility.
About the Job
Own critical portions of Instacart Ads revenue initiatives, including planning, forecasting, deal approvals, and resource investments.
Partner with Ads Product, Carrot Ads, and our enterprise SaaS team to translate strategy into measurable financial outcomes and recommend actions that drive revenue.
Design and implement financial processes and dashboards that leverage internal data and KPIs to monitor performance, surface insights, and automate recurring reporting.
Build monthly and quarterly performance materials for leadership, including forecast updates, variance analyses, and materials for board and investor reviews.
Conduct ad hoc financial modeling and deep dives on initiatives such as SaaS performance, pricing and packaging, cohort performance, and attribution; self‑serve data with SQL when needed.
About You
Minimum Qualifications
Bachelor’s degree in Engineering, Computer Science, Mathematics, Economics, Finance, Business, or a related field; or equivalent practical experience.
2+ years of experience in strategic finance at a high‑growth technology company, investment banking, or consulting.
Advanced proficiency in Excel/Google Sheets, including building driver‑based financial models, cohort analyses, and scenario/sensitivity modeling.
Experience building revenue forecasts and translating KPIs into financial outcomes for an operating business.
Proven ability to create executive‑ready materials and present insights to cross‑functional and senior audiences.
Preferred Qualifications
Intermediate SQL (e.g., joins, window functions) and experience working with large datasets; familiarity with Looker or Tableau.
Experience in digital advertising, ad tech, e‑commerce media, or SaaS monetization models.
Experience preparing materials for board and investor audiences.
Ability to support West Coast business hours in a distributed, remote environment.
Self‑starter who thrives in fast‑changing environments; collaborative, low‑ego approach—and an appreciation for good food puns.
Compensation & Benefits
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. The role is currently open only in 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.
Canadian base pay ranges: $104,000 – $109,500 CAD.
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About The Role
We are seeking a highly skilled and intellectually curious analyst to shape the future of financial data at Instacart, driving innovation at the intersection of systems, analytics, and business strategy. In this role, you will architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale. You’ll collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant, while also advancing large‑scale systems initiatives, accelerating the month‑end close, and optimizing cloud spend in our AWS environment.
Key Responsibilities
Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well‑defined, high‑impact projects with clear deliverables.
Build Decision‑Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long‑term growth strategies.
Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
Ensure Compliance & Governance – Apply compliance‑first design principles to support SOX, audit readiness, and enforce data governance standards.
Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting.
Leverage AI & Next‑Generation Analytics – Harness cutting‑edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics.
Minimum Qualifications
Bachelor’s degree in a related field.
5+ years (7+ preferred) of experience in data analytics or analytics engineering roles.
Strong SQL and cloud data fundamentals, with hands‑on experience in Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.).
Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability.
Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive).
Strong communication skills with the ability to engage effectively across technical and non‑technical teams.
Preferred Qualifications
Public company experience with exposure to SOX compliance.
Background in high‑growth technology environments.
Experience implementing large‑scale financial or operational systems (ERP, enterprise data platforms, etc.).
Project management experience a plus.
Demonstrated ability to support Finance and Accounting teams with scalable data solutions.
Cloud cost management experience, ideally in an AWS environment.
Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks).
Benefits
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. Candidates based in Canada are eligible for a new hire equity grant as well as annual refresh grants. We currently hire in Ontario, Alberta, British Columbia, and Nova Scotia.
Compensation (Canadian)
Base pay ranges for Canadian candidates: $126,000—$133,000 CAD.
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A leading grocery technology company is seeking a Senior Software Engineer to join their Ads team. This remote role involves building reporting solutions and ensuring a seamless flow of data for advertisers. The ideal candidate has significant experience in software engineering, a strong background in distributed systems, and is proficient with SQL and relevant technologies. Attractive compensation and equity options are provided. #J-18808-Ljbffr
