Build and standardize frameworks for causal inference, geo and audience experiments, MMM ... Remote
Build and standardize frameworks for causal inference, geo and audience experiments, MMM ... Remote
Senior Data Scientist (I & II)
OR · Remote
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ... Remote
Senior Data Scientist (I & II)
OR · Remote
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ... Remote
Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference ... Remote
Design, launch, and analyze experiments (e.g., geo tests, PSA tests, holdouts) and causal inference ... Remote
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ... remote
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ... remote
Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a ...
Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a ...
Measurement Science Manager II
OR · Remote
... and causal inference * Ability to automate processes using AI-driven tools and workflows ... Remote
Measurement Science Manager II
OR · Remote
... and causal inference * Ability to automate processes using AI-driven tools and workflows ... Remote
Ads AI Analytics Lead II
OR · Remote
... and causal inference. * Hands-on experience with workflow automation and low-code development ... Remote
Ads AI Analytics Lead II
OR · Remote
... and causal inference. * Hands-on experience with workflow automation and low-code development ... Remote
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site +1
$121K - $167K/yr
Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Graph-based reasoning or causal inference * Full software development lifecycle experience, must be ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site +1
$121K - $167K/yr
Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Graph-based reasoning or causal inference * Full software development lifecycle experience, must be ...
Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi ... Remote
Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi ... Remote
Staff Data Scientist
Portland, OR · Remote
Experience designing experiments and applying causal inference methods to rigorously determine ... We use national average to determine pay as we are a remote first company. Individual pay is based ...
Quick apply
Staff Data Scientist
Portland, OR · Remote
Experience designing experiments and applying causal inference methods to rigorously determine ... We use national average to determine pay as we are a remote first company. Individual pay is based ...
AI Value Partner, Customer Analytics
OR · On-site +1
Familiarity with causal inference, uplift modeling, or A/B testing frameworks * Exposure to ... Work from home office stipend to help you succeed in a remote environment * Lunches and dinners ...
AI Value Partner, Customer Analytics
OR · On-site +1
Familiarity with causal inference, uplift modeling, or A/B testing frameworks * Exposure to ... Work from home office stipend to help you succeed in a remote environment * Lunches and dinners ...
Remote Causal Inference information
What is a remote causal inference?
A Remote Causal Inference job involves using statistical and analytical methods to determine cause-and-effect relationships from data, often for fields like healthcare, social sciences, or business. Professionals in this role work remotely, leveraging tools such as R, Python, or specialized software to analyze experiments, observational studies, or large datasets. Their insights help organizations make data-driven decisions, design better interventions, and accurately measure the impact of policies or treatments. Strong skills in statistics, machine learning, and communication are essential for success in this position.
What are the key skills and qualifications needed to thrive as a remote causal inference specialist?
To thrive as a Remote Causal Inference Specialist, you need strong quantitative and statistical skills, a solid background in econometrics or data science, and typically an advanced degree in a related field. Proficiency with statistical programming languages such as R or Python, experience with causal inference frameworks like propensity score matching or instrumental variables, and familiarity with data visualization tools are crucial. Outstanding problem-solving abilities, clear communication, and self-motivation are essential soft skills for working independently and conveying complex results to non-technical stakeholders. These skills enable accurate, actionable insights from data, which drive evidence-based decision-making in remote, collaborative environments.
How does a remote causal inference specialist typically collaborate with cross-functional teams, and what tools are commonly used?
As a remote Causal Inference specialist, you’ll frequently work with data scientists, product managers, and engineers to design and interpret experiments, analyze observational data, and provide actionable insights. Collaboration usually happens through regular video meetings, shared documentation, and project management tools. Commonly used platforms include Slack or Microsoft Teams for communication, GitHub for code collaboration, and Jupyter Notebooks or RMarkdown for sharing reproducible analyses. These tools help ensure transparency and maintain strong teamwork despite the remote environment.
What are the most commonly searched types of Causal Inference jobs in Oregon? The most popular types of Causal Inference jobs in Oregon are:
What are popular job titles related to Remote Causal Inference jobs in Oregon? For Remote Causal Inference jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Causal Inference jobs in Oregon look for? The top searched job categories for Remote Causal Inference jobs in Oregon are:
What cities in Oregon are hiring for Remote Causal Inference jobs? Cities in Oregon with the most Remote Causal Inference job openings:
Other
Re-posted 8 days ago
Instacart rating
7.1
Based on 31 frontline employees who took The Breakroom Quiz
27th of 64 rated delivery companies
Job description
Overview
The Commercial Strategy & Acceleration (CSX) team empowers Instacart's commercial organizations with domain expertise to drive innovation, cohesive strategy, and agile execution at scale-catalyzing our partners' success across retailers, brands, and agencies.
We are seeking a Senior Director of Media Analytics to lead a high-impact organization of approximately 30 analytics professionals focused on Instacart Ads. You will set the vision, strategy, and operating model for how measurement, experimentation, and insights drive advertiser outcomes and unlock incremental investment. In close partnership with Brand Partnerships, Ads R&D, Product, Data Science, and our CPG customers-as well as key industry bodies-you will deliver rigorous, trusted analytics that guide decisions for some of the world's largest brands.
This role is ideal for a hands-on leader who thrives in a fast-paced, constantly evolving environment and enjoys working cross-functionally to solve complex problems at scale. New York is preferred, with flexibility for qualified candidates across the U.S.; periodic travel to New York City, client offices, and industry events is expected.
About the Job- Own the end-to-end media analytics strategy and roadmap for Instacart Ads, establishing trusted measurement standards that quantify incrementality, optimize performance, and inform advertiser investment decisions.
- Lead, develop, and scale a ~30-person team (including managers and senior ICs) across client analytics, measurement science, experimentation, and commercialization; attract top talent and foster an inclusive, high-performing culture.
- Build and standardize frameworks for causal inference, geo and audience experiments, MMM, attribution, creative effectiveness, and audience insights; partner with Ads R&D and Data Science to productionize models and reporting at scale.
- Collaborate with Brand Partnerships and Sales to deliver compelling, client-ready narratives that translate complex analytics into clear business impact, driving increased advertiser investment.
- Establish data governance, quality, and privacy-safe measurement practices; represent Instacart with industry bodies to advance retail media standards and third-party interoperability.
- Define and manage OKRs, operating cadences, resourcing, and prioritization across a portfolio of analytics initiatives, focusing the team on the highest-impact work.
- Lead thirdparty measurement partnerships (e.g., MMM providers, clean rooms) and integrate them with Instacart's firstparty capabilities to deliver holistic, actionable insights.
- 12+ years of experience in media analytics, marketing science, or ad measurement within digital advertising or retail media.
- 7+ years leading analytics teams of 15+ (including managers of managers), with a track record of hiring, developing, and retaining diverse, high-performing talent.
- Expertise in incrementality testing and causal inference, experimental design, MMM, and attribution, with programs deployed at enterprise scale.
- Advanced SQL and proficiency in Python or R; demonstrated ability to review methodologies, validate models, and uphold analytic rigor.
- Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering) and proven experience influencing Csuite stakeholders at large advertisers (e.g., CPGs) to drive investment decisions.
- Graduate degree (MS, MBA, or PhD) in statistics, econometrics, data science, or a related quantitative discipline.
- Experience at a retail media network, major ad platform, or enterprise CPG/agency leading large-scale analytics and measurement programs.
- Hands-on experience with privacy-safe measurement and clean rooms (e.g., AWS Clean Rooms, Snowflake, Databricks, LiveRamp Safe Haven) and identity solutions.
- Proven success evaluating and integrating third-party MMM/attribution providers (e.g., Analytic Partners, Nielsen, Neustar) and reconciling with first-party signals.
- Engagement with industry bodies (e.g., IAB, ARF, MMA) and recognized thought leadership through standards work, publications, or conference speaking.
#LI-Remote
What Instacart employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Instacart
Sourced by ZipRecruiter
Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Francisco, CA, US
Year founded
2012