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 ...
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 ...
OR · On-site
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 ...
Senior Data Scientist (I & II)
OR · Remote
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 (I & II)
OR · Remote
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 ...
OR · On-site
$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 ...
$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.
Demonstrated experience with causal inference methods (e.g., propensity score methods, weighting ... Familiarity with SAS, machine learning, and natural language processing is desirable but not ...
Demonstrated experience with causal inference methods (e.g., propensity score methods, weighting ... Familiarity with SAS, machine learning, and natural language processing is desirable but not ...
OR · On-site
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 ...
OR · On-site
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 ...
$125K - $172K/yr
Overview We are looking for a Senior Principal Machine Learning Engineer to lead the design and ... A/B testing, causal inference, metric design, and opportunity mining. * Proficiency in Python ...
$125K - $172K/yr
Overview We are looking for a Senior Principal Machine Learning Engineer to lead the design and ... A/B testing, causal inference, metric design, and opportunity mining. * Proficiency in Python ...
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 ...
Working knowledge of causal inference or causal machine learning * Strong grounding in statistics and probability * Experience leading large cross-functional technical initiatives with multiple ...
$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 ...
$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 ...
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.
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:
- Postdoctoral Salary
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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
7.1
Based on 31 frontline employees who took The Breakroom Quiz
27th of 64 rated delivery companies
Job description
Overview
The Core Delivery team at Instacart is dedicated to ensuring customers receive their complete orders seamlessly, spanning the full flow from capturing customer information to coordinating the shopper experience. As a Senior Data Scientist II, you'll identify strategic opportunities to enhance the delivery experience, design and execute rigorous experiments to evaluate new product features, and leverage geospatial data and advanced analytical techniques to optimize delivery experience. You'll also proactively identify high-risk delivery scenarios and develop solutions to the underlying systemic issues that drive them.
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
- 7+ years of experience working in a data science or ML role at a product company.
- Ability to run rigorous experiments and generate scientifically sound recommendations.
- Strong SQL skills for data extraction and transformation from relational databases.
- Proficiency in Python or R for data manipulation and statistical analysis, including libraries such as pandas, scikit-learn, or equivalent.
- Ability to translate business needs into analytical frameworks.
Preferred Qualifications
- Experience with geospatial analysis techniques.
- MS/PhD in Statistics, Economics, Applied Mathematics, or a related field.
#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