Sr Decision Scientist II

Join to apply for the Sr Decision Scientist II (Scalability) role at Instacart. As a Senior 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, setting up scalable monitoring systems, and supporting cross‑functional data needs to facilitate improvements across multiple fronts. About the Team The 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. Scalability & Enablement Pillar You will 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, improve the efficiency of core data functions like monitoring, interpretation, and analysis, and implement solutions that help resolve those challenges. Analytics Engineering Work with cross‑functional stakeholders in Data Science, Operations, and R&D to create “source of truth” datasets. Maintain data pipelines to minimize operational disruption. Design new data schemas matching business needs and link them to existing data for analysis. Support the integration of 3rd party data into analytics‑ready Instacart data. Improving Analytics Efficiency Define structured frameworks to measure and track metrics across multiple domains. Independently create and execute analytical plans to identify, understand, and reduce known data life‑cycle problems. Help elevate the team’s technical acumen through mentorship and by initiating learning opportunities. Strategy Approach problems with a solutions‑oriented mindset by developing business cases with clear logical narratives backed by data that result in actionable recommendations. Influence cross‑functional stakeholders and build out operational analytics capabilities in new domains. Support alignment conversations related to domains, swimlanes, and skills with cross‑functional stakeholders. Provide thought leadership within Operations when planning future strategic initiatives to increase output of data insights. Support creation of scalability roadmaps during planning. Minimum Qualifications 7+ 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 Jira. Proficiency with Python for automation, statistical analysis. Experience building and owning key analytics datasets across multiple domains. Experience with change management for high‑use datasets with downstream dependencies. Strong problem‑solving skills – able to quickly debug anomalies in performance metrics, form hypotheses for investigation, and draw conclusions by conducting nuanced analysis. Ability to aggregate and synthesize large amounts of data and leverage a deep understanding of how analysts would interact with those datasets. Strong stakeholder management skills – able to define stakeholder needs and concerns, initiate engagement methods, build trust, and propel ambiguous projects forward. Strong verbal and written communication skills, including the ability to lead meetings and synthesize complex topics by creating compelling narratives for various stakeholders. Experience working directly with product/engineering teams on scalable process solutions. Effective prioritization and ability to balance quality and speed in a time‑constrained environment. Ability to work independently with a strong sense of ownership. Preferred Qualifications Experience using AI/LLMs to improve capabilities in analytics processes. Experience mentoring and coaching other data team members. Experience utilizing custom internal tools and frameworks to deploy data solutions. Work Location & 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. Please review our Flex First remote work policy. 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. Canadian base pay range: $171,000—$190,000 CAD. #J-18808-Ljbffr