Sr. Decision Scientist, Fraud & Identity

We're transforming the grocery industryAt 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.OverviewAbout the RoleWe are seeking a highly motivated, analytical, and organized individual to join Instacart’s Fraud & Identity organization, focusing on analytics within Fraud, Abuse, Identity, and Reconciliation. The ideal candidate will use advanced analytics skills and strong business acumen to identify, extract, and visualize opportunities that drive improvements across various segments of the company. This role requires excellent time-management, effective communication skills for engaging with stakeholders at all levels, and a passion for continuous improvement, data integrity, and scalable solutions.About the TeamThe Fraud & Identity Ops team at Instacart is a group of experienced, results-driven professionals dedicated to driving profitable growth, generating cost savings, and advancing the company's strategic objectives. By fostering strong cross-functional partnerships with Product, Engineering, Legal, and CX teams, we manage the end-to-end strategy and operations for Fraud, Abuse, Identity, and Reconciliation. We prioritize strategic thinking, creativity, and data-driven decision-making to build alignment and deliver impactful results.This role reports to the Sr. Director of Fraud & Identity Operations, who oversees losses tied to fraud and abuse. The Sr. Decision Scientist will collaborate closely with Product, Engineering, Operations, and other cross-functional teams at Instacart.About the Job This role involves leveraging data to drive insights, build strategies, and enable improvements across various business areas, including Fraud, Abuse, Identity, and Reconciliation:Ownership of Data Analysis & Visualization: Manage data analysis and insights for Fraud & Identity, Appeasements & Refunds, Shopper and Customer Abuse, Identity Verification, Account Takeover, Quality, and other reconciliation initiatives.Strategic Communication: Regularly communicate outcomes and insights to cross-functional stakeholders, including senior leadership, to guide strategic decision-making for process and performance improvement.Development of Dashboards and Reporting Models: Create dashboards, analytical frameworks, and detailed reporting models for key stakeholders to inform decisions on processes, policies, systems, and service models.Collaboration on Roadmaps: Work with Product, Data Science, and Analytics teams to understand growth and risk factors related to new and future product releases.Automation and Reporting: Build automated reporting systems to keep operations leaders informed of trends, variations, and opportunities across geographies and teams.Innovation throughData Insights: Lead efforts to improve performance and enhance customer experiences by introducing innovative data approaches and actionable insights.OperationalData Analysis: Use unstructured behavioral data to identify operational events and their impact on fulfillment quality and end-user experiences.A/B Testing & Experimentation: Design and conduct A/B and multivariate tests, define success metrics, and transform test results into actionable business insights.XFN Collaboration: Partner with SMEs and decision-makers to develop data-driven policies and models aimed at continuously improving fulfillment performance.In this role, you’ll play a critical part in transforming how teams across North America leverage data to deliver exceptional performance and create industry-leading customer, shopper, and retailer experiences.About YouMinimum QualificationsMinimum 6-8 years in analytics/DS, business intelligence/operations, or related environmentAbility to Identify potential root causes contributing to potential change(s) in metrics and provide recommendation on mitigation strategyAbility to write complex and performant queries in your dialect of SQL to extract data from our data warehouse (Mode, Snowflake or DBT experience a plus)Experience with Programming & Analytical tools Experience with analytical visualization tools such as Tableau, Mode, Looker, Periscope or similar toolsExtremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiencesAbility to work effectively with internal stakeholders, including data scientists and data engineers.Work cross-functionally with Product, Engineering, Operations to drive changesExcellent teamwork skills and desire to help others learnHigh level of accountability and ownership – driven and focused self-starterStrategic mindset – the ability to think ahead of where the company is at nowUnderstanding of A/B testing and other forms of statistical analysis using stats packagesExperience in e-commerce, CNP payments, finance, credits or marketplace industry.Assess and measure the impact of product changes and vendor performanceExperience in driving understanding of customers and their interaction with products, through in-depth analyses of user behavior and engagementPreferred QualificationsExperience in Fraud & Identity, Abuse, Spread, or Credit & Refunds fieldExperience in advanced reporting tools such as Mode, Snowflake, or DBTAdvanced degree in statistics or other quantitative fieldsData modeling, ETL and data pipeline development experienceUnderstanding of bias in models and proactively addresses issues with samplingInstacart 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$149,000—$165,000 CADOriginally posted on Himalayas

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