Senior Marketing Decision Scientist II

Senior Marketing Decision Scientist II

Instacart

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. 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 $201,000—$212,000 USD WA $193,000—$203,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $184,000—$194,000 USD All other states $167,000—$176,500 USD

Senior Data Scientist (I & II)

Instacart

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

Senior Data Scientist (I & II)

Instacart

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