Senior Data Scientist
OR · On-site +1
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. * Present findings in a compelling way to influence ...
Senior Data Scientist
OR · On-site +1
Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart. * Present findings in a compelling way to influence ...
Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference ... Experience with machine learning modeling is a plus. * Proven ability to influence product and ...
Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference ... Experience with machine learning modeling is a plus. * Proven ability to influence product and ...
Mentor ML engineers to build expertise in ranking, causal inference, and scalable serving systems ... Graduate degree (Masters or PhD) in machine learning, statistics, computer science, information ...
Mentor ML engineers to build expertise in ranking, causal inference, and scalable serving systems ... Graduate degree (Masters or PhD) in machine learning, statistics, computer science, information ...
Data Scientist 5 - Ads Experimentation
OR · On-site +1
$372K - $600K/yr
Deliver end-to-end solutions using advanced causal inference, machine learning, and data exploration, maintaining a high bar for documentation and reproducibility. Requirements Advanced Quantitative ...
Data Scientist 5 - Ads Experimentation
OR · On-site +1
$372K - $600K/yr
Deliver end-to-end solutions using advanced causal inference, machine learning, and data exploration, maintaining a high bar for documentation and reproducibility. Requirements Advanced Quantitative ...
Senior Machine Learning Engineer II, Ads Response Prediction
OR · On-site +1
$91K - $124K/yr
Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation.
Senior Machine Learning Engineer II, Ads Response Prediction
OR · On-site +1
$91K - $124K/yr
Overview As a Senior Machine Learning Engineer II on the Ads Response Prediction team, you will ... Strong foundation in causal inference, counterfactual reasoning, and training data bias mitigation.
Machine Learning Engineer
OR · On-site +1
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Optimize inference performance through quantization, distillation, batching, and model serving ...
Machine Learning Engineer
OR · On-site +1
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Optimize inference performance through quantization, distillation, batching, and model serving ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
Principal Applied Scientist
OR · On-site +1
Working knowledge of causal inference or causal machine learning * Strong grounding in statistics and probability * Experience leading large cross-functional technical initiatives with multiple ...
Principal Applied Scientist
OR · On-site +1
Working knowledge of causal inference or causal machine learning * Strong grounding in statistics and probability * Experience leading large cross-functional technical initiatives with multiple ...
AI Scientist Senior II
Portland, OR · On-site
$150 - $190/hr
Lead the adoption of advanced generative AI, machine learning, and deep learning techniques ... causal inference), and communicate ROI to stakeholders. * Build and maintain scalable AI data ...
AI Scientist Senior II
Portland, OR · On-site
$150 - $190/hr
Lead the adoption of advanced generative AI, machine learning, and deep learning techniques ... causal inference), and communicate ROI to stakeholders. * Build and maintain scalable AI data ...
Senior Machine Learning Engineer
OR · On-site +1
$104K - $143K/yr
Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...
Senior Machine Learning Engineer
OR · On-site +1
$104K - $143K/yr
Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...
Research Scientist 5/6 - AI for Member Systems
OR · On-site +1
$466K - $750K/yr
... Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and bandits ...
Research Scientist 5/6 - AI for Member Systems
OR · On-site +1
$466K - $750K/yr
... Machine Learning areas, including Large Language Models (LLMs) and other foundation models, deep learning, search and recommender systems, causal inference, reinforcement learning and bandits ...
Analytics Engineer 5 - Content & Studio
OR · On-site +1
$330K - $566K/yr
Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. In Conversation Data and Insights, we ...
Analytics Engineer 5 - Content & Studio
OR · On-site +1
$330K - $566K/yr
Data and Insights at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. In Conversation Data and Insights, we ...
Research Engineer 5/6 - AI for Member Systems
OR · On-site +1
Background in neural networks, natural language processing, or causal inference Contributions to open-source projects in machine learning or related fields. Experience working with cross functional ...
Research Engineer 5/6 - AI for Member Systems
OR · On-site +1
Background in neural networks, natural language processing, or causal inference Contributions to open-source projects in machine learning or related fields. Experience working with cross functional ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site +1
$121K - $167K/yr
PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... 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
PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ... Graph-based reasoning or causal inference * Full software development lifecycle experience, must be ...
... machine learning and artificial intelligence to support different aspects of marine science, with ... The Postdoctoral Fellow will be able to grow his/her skills in research and grant writing by taking ...
... machine learning and artificial intelligence to support different aspects of marine science, with ... The Postdoctoral Fellow will be able to grow his/her skills in research and grant writing by taking ...
Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and ... Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal ...
Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and ... Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal ...
Director, Data Science/ML
OR · On-site +1
Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning * Develop causal inference methodologies to understand true incrementality of ...
Director, Data Science/ML
OR · On-site +1
Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning * Develop causal inference methodologies to understand true incrementality of ...
Causal Inference Machine Learning Postdoctoral information
What is a causal inference machine learning postdoctoral researcher?
A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.
What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?
To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.
What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?
Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.
What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
Is it difficult to get a causal inference machine learning postdoctoral position?
Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Oregon?
For Causal Inference Machine Learning Postdoctoral jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Oregon look for?
The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Oregon are:
- Hpc Postdoc
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- Postdoctoral Biotechnology
- Volunteer Postdoctoral Research Computational Chemistry
- Education Research Scientist
What cities in Oregon are hiring for Causal Inference Machine Learning Postdoctoral jobs?
Cities in Oregon with the most Causal Inference Machine Learning Postdoctoral job openings:
Instacart rating
6.7
Based on 32 frontline employees who took The Breakroom Quiz
42nd of 64 rated delivery companies
Job description
Overview
This is a general posting for multiple Senior Data Science roles open across our 4-sided marketplace. Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we'll do a team-matching exercise to determine which of the open roles/teams you'll join. At the bottom of this posting, you'll find a breakdown of the currently open roles.
About the Job
- Own analytical frameworks that guide the product roadmap.
- Design rigorous experiments and interpret results to draw detailed and actionable conclusions.
- Develop statistical models to extract trends, measure results, and predict future performance of our products.
- Build simulations to project the impact of various product and policy interventions.
- Enable objective decision-making across the company by democratizing data through dashboards and other analytical tools.
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc., to shape the future of Instacart.
- Present findings in a compelling way to influence Instacart's leadership.
About You
Minimum Qualifications
- 5+ years of experience working in a quantitative role at a product company or a research organization.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Ability to write complex, efficient, and eloquent SQL queries to extract data.
- Ability to write efficient and eloquent code in Python or R.
- A desire to build and improve consumer software products.
- Ability to translate business needs into analytical frameworks.
- Eagerness to learn, flexibility to pivot when needed, savviness to navigate a dynamic environment, and a growth mindset to build a successful team and company.
Preferred Qualifications
- Awareness of business trade-offs when working on a multi-sided marketplace.
- Confidence in collaborating with and influencing cross-functional stakeholders (e.g., Product, Engineering) at a senior level.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
Currently Opened Roles
Marketing | Sr. Data Scientist I (L5)
The Marketing Data Science team is responsible for measurement and optimization across Instacart's paid digital channels, including search, shopping, display, social, and video. As a Senior Data Scientist, you'll build and maintain sophisticated attribution models-including multi-touch and incrementality-based approaches-and develop scalable data pipelines to turn raw marketing data into clean, analysis-ready datasets. You'll apply causal inference methods such as geo holdouts and difference-in-differences to evaluate campaign effectiveness, partnering closely with marketing, data engineering, and business teams to define measurement frameworks and drive data-informed decisions. You'll also model user lifetime value (LTV) across acquisition cohorts, quantifying how marketing spend and channel mix influence long-term retention and monetization to inform budget allocation and growth strategy
#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