Senior Decision Scientist, Fraud & Identity

Summary

Join Instacart's Fraud & Identity organization as a highly motivated and analytical Decision Scientist. Leverage advanced analytics to identify and visualize opportunities for improvement across various company segments. Effectively communicate insights to stakeholders at all levels. Develop dashboards and reporting models to inform strategic decision-making. Collaborate with cross-functional teams on roadmaps and automation. Lead efforts to improve performance and customer experiences through innovative data approaches. This role requires strong analytical, communication, and teamwork skills, along with experience in data analysis, visualization, and A/B testing. The position offers competitive compensation and benefits, including a remote work option and equity grants.

Requirements

• Minimum 6-8 years in analytics/DS, business intelligence/operations, or related environment
• Ability to Identify potential root causes contributing to potential change(s) in metrics and provide recommendation on mitigation strategy
• Ability 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 tools
• Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences
• Ability to work effectively with internal stakeholders, including data scientists and data engineers
• Work cross-functionally with Product, Engineering, Operations to drive changes
• Excellent teamwork skills and desire to help others learn
• High level of accountability and ownership – driven and focused self-starter
• Strategic mindset – the ability to think ahead of where the company is at now
• Understanding of A/B testing and other forms of statistical analysis using stats packages
• Experience in e-commerce, CNP payments, finance, credits or marketplace industry
• Assess and measure the impact of product changes and vendor performance
• Experience in driving understanding of customers and their interaction with products, through in-depth analyses of user behavior and engagement

Responsibilities

• 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 through Data Insights: Lead efforts to improve performance and enhance customer experiences by introducing innovative data approaches and actionable insights
• Operational Data 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

Preferred Qualifications

• Experience in Fraud & Identity, Abuse, Spread, or Credit & Refunds field
• Experience in advanced reporting tools such as Mode, Snowflake, or DBT
• Advanced degree in statistics or other quantitative fields
• Data modeling, ETL and data pipeline development experience
• Understanding of bias in models and proactively addresses issues with sampling

Benefits

• Instacart provides highly market-competitive compensation and benefits in each location where our employees work
• This role is remote
• Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants