Sr Decision Scientist II

OverviewWe'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. Instacart provides 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.Instacart is a Flex First teamThere’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.About the RoleSenior Decision Scientist: you will be responsible for understanding and improving the quality of Instacart’s online grocery business. You will play a key role in building and maintaining business-critical datasets. You will help set up scalable monitoring systems for analysts to leverage which enable them to understand our business performance with greater efficiency. Your work will also entail supporting cross-functional data needs to facilitate improvements across multiple fronts.About the TeamThe Platform Excellence Operations (PEO) team is dedicated to improving the quality of Instacart’s online grocery experience for our customers, shoppers, and retailers. The analytics team focuses on identifying, understanding, and eliminating defects in the online grocery experience by analyzing and interpreting operational data. The team ensures that stakeholders have a consistent understanding of why business performance is changing and advocates for improving poor experiences that may be overlooked. You’ll be part of a dynamic cross-functional team that collaborates closely with stakeholders to provide critical data insights to enhance our operations and overall customer experience.As part of the Scalability & Enablement Pillar within PEO Analytics, you tackle meta-level problems related to how analysts and business stakeholders interact with data through the data lifecycle. Your goal is to provide access to stable and accurate data that serves hundreds of users. You focus on understanding how to improve the efficiency of core data functions like monitoring, interpretation and analysis; working to implement solutions that help resolve those challenges.About the JobAnalytics EngineeringWork with cross-functional stakeholders in Data Science, Operations, and R&D to create 'source of truth' datasets.Maintenance of data pipelines to minimize operational disruptionDesign new data schemas matching business needs and link them to existing data for analysisSupport the integration of 3rd party data into analytics-ready Instacart dataImproving Analytics EfficiencyDefine structured frameworks to measure and track metrics across multiple domainsIndependently create and execute analytical plans to identify, understand, and reduce known data life-cycle problemsHelp elevate the team’s technical acumen through mentorship and by initiating learning opportunitiesStrategyApproach problems with a solutions-oriented mindset by developing business cases with clear logical narratives backed by data that result in actionable recommendationsInfluence cross-functional stakeholders and build out operational analytics capabilities in new domainsSupport alignment conversations related to domains, swimlanes, and skills with cross-functional stakeholdersProvide thought leadership within Operations org when planning future strategic initiatives to increase output of data insightsSupport creation of scalability roadmaps during planningAbout YouMinimum Qualifications7+ years of experience in an analytics engineering related role (e.g. analytics engineering, data engineering, data science, etc)Familiarity with: Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and JiraProficiency with Python for automation, statistical analysisExperience building and owning key analytics datasets across multiple domainsExperience with change management for high use datasets with downstream dependenciesStrong problem solving skills - able to quickly debug anomalies in performance metrics, form hypothesis for investigation, and draw conclusions by conducting nuanced analysisAbility to aggregate and synthesize large amounts of data and leverage a deep understanding of how analysts would interact with those datasetsStrong stakeholder management skills - able to define stakeholder needs and concerns. Initiates methods to engage them, build trust, and propel ambiguous projects forwardStrong verbal and written communication skills, including the ability to lead meetings and synthesize complex topics by creating compelling narratives for various stakeholdersExperience working directly with product/engineering teams on scalable process solutionsEffective prioritization and ability to balance quality and speed in a time constrained environmentAbility to work independently with a strong sense of ownershipPreferred QualificationsExperience using AI/LLMs to improve capabilities in analytics processesExperience mentoring and coaching other data team memberExperience utilizing custom internal tools and frameworks to deploy data solutions#LI-RemoteInstacart 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. #J-18808-Ljbffr