Job Highlights

AI-extracted key information

As a Senior Decision Scientist at Instacart, you will enhance the quality of the online grocery marketplace and fulfillment operations through data-driven insights. Your role involves conducting advanced analyses to optimize marketplace performance and collaborating with cross-functional teams to improve operational efficiency and consumer satisfaction.

Salary Range

$170k - $180k/year

Experience Level

Senior Level

Benefits & Perks

Remote WorkFlexible Schedule
AI-powered analysis • Data extracted from job description
Instacart logo

Sr. Decision Scientist, Platform Excellence Ops Analytics

InstacartUnited States - RemoteData & Analytics

Posted 1 weeks ago

Full-Time

Employment Type

Remote

Work Location

$170,000 - $180,000

per year

About This Role

We're transforming the grocery industry

At 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.

Overview

As a Senior Decision Scientist, you will be responsible for understanding and enhancing the quality of Instacart's online grocery marketplace and fulfillment operations. You will transform data-driven insights into impactful actions that drive measurable business outcomes. In this role, you will conduct advanced technical analyses/modeling that help optimize marketplace and retailer performance. Working at the intersection of operations and analytics, you will partner with cross-functional teams across R&D to deliver solutions that improve both operational efficiency and consumer satisfaction.

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. 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 Marketplace & Retailer Pillar within PEO Analytics, you will tackle critical fulfillment quality challenges for our key strategic partners. You will play an essential role in maintaining Instacart's reputation for reliability and operational excellence by analyzing and optimizing marketplace & retailer level fulfillment performance

About The Job

Analysis and Strategy

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

Data Engineering and Operational Efficiency

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

About You

Minimum Qualifications

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

Preferred Qualifications

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

Familiarity with LLM performance metrics, quality assessment techniques, and best practices for prompt engineering or model evaluation

Experience Mentoring And Coaching Other Data Team Members

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

here

.

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 rea

d more about our benefits offerings

here

.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ

$170,000

$180,000 USD

WA

$163,000

$172,000 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$156,000

$165,000 USD

All other states

$142,000

$150,000 USD

Compensation

$170,000 - $180,000

Annual salary

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