高级数据科学家 II - 广告优化
Senior Data Scientist II - Ads Optimization
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，并有更多时间一起享受。当其他人看到简单的杂货配送需求时，我们看到的是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，让他们获取杂货和日用品，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存线，我们正在组建团队，帮助推动我们的购物车向前发展。如果你准备好做出一生中最好的工作，欢迎加入我们的团队。
Instacart是Flex First团队
没有一种方法适用于所有人如何做好工作。我们的员工可以自由选择在哪里完成最佳工作——无论是从家、办公室还是最喜欢的咖啡店——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方面的灵活方式。
简介
Instacart的广告优化团队是我们的10亿美元以上广告业务的决策引擎。我们负责负责出价、节奏控制、预算分配、定向以及额外优化层的系统，将广告主的目标转化为实时结果——同时在用户、广告主、零售合作伙伴和Instacart之间平衡价值。作为该团队的高级数据科学家，你将推动分析、实验和算法策略，决定我们的广告供需如何匹配，以及平台上的价值和盈余如何创造和分配。
在这个职位中，你将在数据科学、经济学和生产系统之间运作，与产品、工程和机器学习团队紧密合作，构建和交付直接影响Instacart收入和广告主成果的解决方案。你的工作将涉及从问题定义和建模到实验、测量和在实时系统中的迭代的完整研究到生产流程。
职位描述
- 负责节奏控制、定向及相关优化领域的分析和实验策略，推动广告主成果和平台效率的可衡量提升
- 设计并构建基于自适应控制和模型预测控制技术的智能节奏算法和预算分配系统，部署在生产环境中
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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
Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform.
In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the full research-to-production loop — from problem framing and modeling to experimentation, measurement, and iteration in live systems.
About the Job
- Own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency
- Design and build intelligent pacing algorithms and budget allocation systems grounded in adaptive control and model-predictive control techniques, deployed in high-throughput production environments
- Lead end-to-end experimentation across optimization systems — designing experiment frameworks, diagnosing complex or conflicting signals, and translating results into clear, actionable recommendations for Product and Engineering leadership
- Apply causal inference, statistical modeling, and ML techniques to optimize how ad spend is distributed across time and auction opportunities, balancing user experience, advertiser goals, and platform revenue
- Present findings and strategic recommendations to leadership across Product, Engineering, and Data Science
- Serve as a thought leader and technical anchor in the Ads Optimization space, setting the analytical standard and mentoring peers across the team
- Collaborate with the Ads Product and Sales teams to gather advertiser feedback and inform optimization priorities
About You
Minimum Qualifications
- Proven experience in ads optimization at an ad tech company (e.g., Google, Meta, Amazon, TikTok, or equivalent), with hands-on work in pacing, targeting, budget allocation, or related systems
- Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
- Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments
- Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
- 6+ years of work experience in a data science or related field
Preferred Qualifications
- Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities
- Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems
#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
$218,000—$230,000 USD
WA
$209,000—$220,500 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$200,000—$211,000 USD
All other states
$182,000—$192,000 USD