Expertise in causal inference with observational and experimental data. * Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras ...
OR · On-site
$466K - $750K/yr
Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...
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 ...
OR · On-site
$372K - $600K/yr
Data Science and Engineering (DSE) at Netflix is aimed at using data, analytics, causal inference, machine learning, and sciences to improve various aspects of our business. The AI initiative at ...
Senior Health Services Researcher- Remote
OR · On-site +1
$86K - $106K/yr
Apply rigorous methods such as causal inference, longitudinal analysis, multilevel modeling, quasi-experimental designs, and machine learning * Serve as a hands-on analyst, directly working with ...
Senior Health Services Researcher- Remote
OR · On-site +1
$86K - $106K/yr
Apply rigorous methods such as causal inference, longitudinal analysis, multilevel modeling, quasi-experimental designs, and machine learning * Serve as a hands-on analyst, directly working with ...
$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 ...
$160K - $180K/yr
You'll go beyond prediction to estimate the real effects of medications and interventions on patient outcomes using modern causal inference and causal machine learning methods. This is a dynamic role ...
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
$55.75 - $73.75/hr
Senior Machine Learning Engineer, Data & Intelligence Products AcuityMD is a software and data ... clustering, causal inference, ensembles, etc), defining success metrics, and quantifying ...
$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 ...
Mentor ML engineers to build expertise in ranking, causal inference, and scalable serving systems ... Expertise in multi-task learning architectures (e.g., MMOE/PLE, shared encoders), calibration ...
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 ...
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 ...
OR · On-site
$372K - $600K/yr
The ideal candidate will excel in experimentation design and evaluation, causal inference, and applied machine learning, with a passion for applying these skills within the infrastructure domain. To ...
$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 ...
Working knowledge of causal inference or causal machine learning * Strong grounding in statistics and probability * Experience leading large cross-functional technical initiatives with multiple ...
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, and why are they important?
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:
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
29th of 63 rated delivery companies
Job description
Overview
We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in particular looking for current or recently graduated PhD students in economics or related fields like marketing, finance, or operations research. Candidates should bring some relevant research experience, typically in computationally intensive empirical topics, as well as some exposure to machine learning coursework and applications.
The Economics team at Instacart works on a range of interesting and challenging problems at the intersection of machine learning and economics, from aligning the incentives in our multi-sided marketplace to analyzing the impact of behavioral nudges on our customers' and shoppers' decisions. Some of the core areas of focus for our team include online advertising, uplift and long term value modeling, logistics, marketplace optimization (consumers, shoppers, retailers), inventory intelligence, and general causal inference. You can find more information in our blog post that introduces the team and the type of work we do.
About the Job
- You will help design and build end-to-end machine learning solutions.
- You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects.
- You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains.
- You will develop high impact solutions to support Instacart's ambitious growth plans.
- You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments.
- You will have the freedom to suggest and drive organization-wide initiatives.
About You
Minimum Qualifications
- Current or recently graduated PhD student in economics or a related field with focus on data-intense problems.
- A blend of economic theory, applied econometrics, and business acumen that let you jump into a fast-paced environment and contribute from day one.
- Expertise in causal inference with observational and experimental data.
- Expertise in Python or R and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Self-motivation and a strong sense of ownership
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