Instacart
Instacart invites the world to share love through food. This is how homemade is made.
Senior Decision Scientist, Platform Excellence Ops Analytics
Location
California + 18 moreAll locations: California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maine, New Hampshire, New Jersey, New York, Oregon, Maryland, Massachusetts, Pennsylvania, Rhode Island, Texas, Vermont, Virginia, Washington
Posted
30 days ago
Salary
$142K - $180K / year
5 yrs expEnglishAirflowApacheBig QueryPythonSQL
Job Description
• Conduct rigorous analyses grounded in a deep understanding of marketplace dynamics, controlling for confounding factors to ensure insights are accurate, trustworthy, and actionable
• Leverage advanced statistical techniques including causal inference and regression modeling to isolate true drivers of fulfillment quality and uncover insights that would otherwise remain hidden in observational data
• Balance short-term operational needs with long-term strategic planning for quality improvement and sustainable growth
• Provide thought leadership within the pillar when planning future strategic initiatives and roadmaps to maximize the impact of data-driven insights
• Build data pipelines that monitor and analyze key marketplace and retailer quality issues
• Develop automated workflows that streamline issue detection, root cause analysis, and recommendations for operational teams and stakeholders
• Build and maintain data models and pipelines
Job Requirements
- 5+ years of experience in analytics, data science, or decision science roles
- Familiarity with Snowflake/Databricks/BigQuery or similar data warehouses, DBT/Apache Airflow or similar orchestration tools, Github, and Jira
- Proficiency with Python/SQL to perform statistical analysis, predictive modelling, and large language modelling and automation
- Ability to deal with ambiguity; a self-starter with the ability to quickly respond to problems independently
- Experience building and maintaining DBT models for analytics use cases, including managing downstream dependencies and understanding how analysts consume those datasets
- Strong problem solving skills - able to quickly debug anomalies in performance metrics, form hypothesis for investigation, and draw conclusions by conducting nuanced analysis
- Effective prioritization and ability to balance quality and speed in a time constrained environment
- Ability to work independently with a strong sense of ownership
- 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.
- Familiarity with LLM performance metrics, quality assessment techniques, and best practices for prompt engineering or model evaluation
- Experience designing and analyzing experiments (A/B tests, randomized controlled trials) to measure causal impact and inform business decisions
- Understanding of multi-sided marketplace dynamics and the unique analytical challenges of balancing supply, demand, and platform economics
- Experience mentoring and coaching other data team members
Benefits
- Flex First remote work policy
- New hire equity grant
- Annual refresh grants
