高级数据科学家 I - 餐饮
Senior Data Scientist I - Meals
我们正在改变零售行业
在Instacart，我们邀请世界通过食物传递爱，因为我们相信每个人都能获得他们喜爱的食物，并有更多时间与之共度。当其他人看到简单的杂货配送需求时，我们看到了令人兴奋的复杂性和无限的机会，以满足我们社区的各种需求。我们致力于提供客户依赖的必要服务，让他们获取杂货和家居用品，同时为Instacart个人购物者提供安全且灵活的收入机会。
Instacart已成为数百万人的生命线，我们正在组建一支团队，帮助推动我们的购物车向前发展。如果你准备做出一生中最好的工作，欢迎加入我们的行列。
Instacart是灵活优先的团队
没有一种方法适用于所有人如何做好工作。我们的员工可以选择在家中、办公室或最喜欢的咖啡店完成最佳工作，同时通过定期的面对面活动保持联系并建立社区。了解更多关于我们在工作地点上的灵活方式。
简介
我们正在寻找一位高级数据科学家来领导“Meals”项目——这是Instacart 2027年的顶级战略重点之一。该职位专注于在MVP发布后扩展数据科学工作，以指标跟踪和实验为核心。你将在通过高可见性、高影响力的0→1项目推动Instacart的参与度、激活和重新激活方面发挥关键作用。这是一个与产品、工程和设计紧密合作，塑造重要产品领域方向的机会。
职位描述
- 领导“Meals”项目的数据显示工作，负责MVP后的数据科学系统和基础设施的扩展
- 设计、构建和维护指标跟踪框架，以衡量“Meals”对参与度、激活和重新激活的影响
- 推动实验策略——从假设定义到分析和建议——以指导产品决策
- 与产品经理、工程师和设计师密切合作，统一策略并传达数据驱动的洞察
- 参与一个处于关键转折点的0→1项目，帮助定义规模化后的成功标准
我们希望你具备以下条件
最低资格要求
- 在面向消费者的产品数据科学领域有实际经验，与产品经理、工程负责人和数据工程师紧密合作
- 具有扎实的数据科学基础
查看英文原文
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
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. 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.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$161,000—$170,000 CAD