Is the Senior Data Scientist I - Meals role remote?

Yes — Instacart lists this as a fully remote position.

What's the salary range?

Instacart lists $161,000–$204,500 for this role.

How much experience is required?

At least 4 years of relevant experience for this Senior Data Scientist I - Meals role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Data Science.

What seniority level is this role?

Instacart targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior Data Scientist I - Meals role at Instacart.

Senior Data Scientist I - Meals at Instacart

Joblaze summary

The Senior Data Scientist for the Meals initiative at Instacart focuses on scaling data science efforts post-MVP launch, emphasizing metric tracking and experimentation to enhance user engagement and product activation. Key skills include a strong foundation in product analysis, A/B testing, and causal inference, alongside experience in consumer-facing data science roles. This position is suited for professionals with over four years of relevant experience who can effectively communicate complex findings to stakeholders. The role is part of a critical initiative aimed at shaping a major product area within the company.

Joblaze insights

Listed today — first seen on Joblaze September 29, 2026. Last confirmed on Instacart's careers page September 29, 2026.
This exact title is also open at 1 other location at Instacart: Canada.
Salary band is in line with the typical range for Data Science roles (median ~$170,000).
Starts above 37% of 82 comparable senior data science roles in United States we track (median $175,000 across 44 companies).
Data Science appears in 8.4% of 119 comparable senior data science roles in United States.

Quick facts

Is the Senior Data Scientist I - Meals role remote?: Yes — Instacart lists this as a fully remote position.
What's the salary range?: Instacart lists $161,000–$204,500 for this role.
How much experience is required?: At least 4 years of relevant experience for this Senior Data Scientist I - Meals role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Data Science.
What seniority level is this role?: Instacart targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Data Scientist I - Meals role at Instacart.

From the original posting

We're transforming the grocery industry

Overview

We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design.

About the Job

Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure
Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation
Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions
Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights
Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale

About You

Minimum Qualifications

Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers
Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
Experience defining KPIs, and optimizing funnel for product market fit
Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
4+ years of work experience in a data science or related field
Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience

Preferred Qualifications

Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes.
Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects.
Proven impact improving logging, instrumentation, and metric definitions in complex data environments.
Experience launching new features in new markets, or launching 0-1 initiatives

#LI-Remote

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 read 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

$194,000—$204,500 USD

WA

$185,000—$195,500 USD

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

$177,000—$187,000 USD

All other states

$161,000—$170,000 USD

Standard company text repeated across Instacart's postings is omitted here.