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 ...
Posted today
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 ...
Posted today
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 ...
Data Scientist
Chesterfield, MO · On-site +1
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site +1
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site
$110 - $150/hr
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site
$110 - $150/hr
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site +1
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site +1
Solid understanding of statistical inference, econometric modeling (e.g., time series analysis, causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree ...
Data Scientist
Chesterfield, MO · On-site
... causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree-based models). • Demonstrated ability to frame complex problems, design analytical solutions ...
Data Scientist
Chesterfield, MO · On-site
... causal inference), and machine learning algorithms (e.g., regression, classification, clustering, tree-based models). • Demonstrated ability to frame complex problems, design analytical solutions ...
Principal, Data Scientist (Pricing)
Anderson, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Principal, Data Scientist (Pricing)
Anderson, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Principal, Data Scientist (Pricing)
Noel, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Principal, Data Scientist (Pricing)
Noel, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Principal, Data Scientist (Pricing)
Cassville, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Principal, Data Scientist (Pricing)
Cassville, MO · On-site
$110K - $220K/yr
Our work combines techniques from forecasting, optimization, operations research, machine learning (classical ML, deep learning, reinforcement learning), causal inference, experimentation, and ...
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Develop feature engineering workflows * Optimize model ...
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Develop feature engineering workflows * Optimize model ...
Biomarker identification through the use of machine learning and AI approaches. * Integration of ... causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga ...
Biomarker identification through the use of machine learning and AI approaches. * Integration of ... causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga ...
Machine Learning Engineer 727
Saint Louis, MO · On-site
$120 - $170/hr
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Optimize model performance and resource utilization
Machine Learning Engineer 727
Saint Louis, MO · On-site
$120 - $170/hr
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Optimize model performance and resource utilization
Postdoctoral Scholar - University of Southern California Information Sciences Institute
California, MO · On-site
$54 - $72/hr
... machine learning, computer science, and social sciences, in collaboration with Emilio Ferrara ... Postdoctoral Researcher position with a focus on modeling and forecasting with multivariate and ...
New
Postdoctoral Scholar - University of Southern California Information Sciences Institute
California, MO · On-site
$54 - $72/hr
... machine learning, computer science, and social sciences, in collaboration with Emilio Ferrara ... Postdoctoral Researcher position with a focus on modeling and forecasting with multivariate and ...
New
Postdoctoral Research Associate (Proteomics and Multiomics in Neurodegeneration) - Psychiatry
Saint Louis, MO · On-site
Biomarker identification through the use of machine learning and AI approaches. * Integration of ... causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga ...
Postdoctoral Research Associate (Proteomics and Multiomics in Neurodegeneration) - Psychiatry
Saint Louis, MO · On-site
Biomarker identification through the use of machine learning and AI approaches. * Integration of ... causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga ...
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Develop feature engineering workflows * Optimize model ...
Design, train, validate, and deploy machine learning models ... Build production inference pipelines * Develop feature engineering workflows * Optimize model ...
Data Scientist
Saint Louis, MO · Remote
Apply causal inference techniques using observational data to uncover relationships * Prepare and ... deep learning * Must have experience using libraries like tensorflow or pytorch * Must have ...
Data Scientist
Saint Louis, MO · Remote
Apply causal inference techniques using observational data to uncover relationships * Prepare and ... deep learning * Must have experience using libraries like tensorflow or pytorch * Must have ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Principal, Data Scientist
Noel, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Principal, Data Scientist
Cassville, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Principal, Data Scientist
Anderson, MO · On-site
$110K - $220K/yr
Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...
Postdoctoral Research Associate - Engineering
Saint Louis, MO · On-site
$55 - $65/hr
The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and machine learning within the scope of ACAG. The postdoc will have various ...
Postdoctoral Research Associate - Engineering
Saint Louis, MO · On-site
$55 - $65/hr
The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and machine learning within the scope of ACAG. The postdoc will have various ...
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 Missouri?
For Causal Inference Machine Learning Postdoctoral jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Missouri look for?
The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Missouri are:
What cities in Missouri are hiring for Causal Inference Machine Learning Postdoctoral jobs?
Cities in Missouri with the most Causal Inference Machine Learning Postdoctoral job openings:
Instacart rating
6.7
Based on 32 frontline employees who took The Breakroom Quiz
41st of 64 rated delivery companies
Job description
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.
Overview
Since 2012, Instacart has been focused on making grocery delivery convenient, affordable, and accessible to everyone. We bring fresh groceries and everyday essentials to customers across the US and Canada from nearly 55,000 stores across 5,500 markets. Our mission is to create a world where everyone has access to the food they love, and to achieve that goal, we innovate in a wide range of areas including e-commerce, advertising, and fulfillment.
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we build product and knowledge graphs on top of the catalog data to support a wide range of applications including search and ads.
We are looking for talented Ph.D. students to have an internship in our fast moving team. You will have the opportunity to work on a very large scope of problems in search, ads, personalization, recommendation, fulfillment, product and knowledge graph, pricing, etc.
About the Team:
This is a general posting for multiple intern roles open across our various ML teams. You can find a blurb on each team below:
Economics Team: The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference.
Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search technology at Instacart. They collaborate on building models that enhance relevance of all shopping surfaces, ranking, and personalization, delivering highly relevant results to users across the Instacart ecosystem. As part of the Search and Discovery ML team, you'll work on one of the most critical aspects of the business, helping customers connect with the right products. We are passionate about solving large-scale search challenges and creating innovative solutions that elevate the customer experience. (Recent publications 1, 2, 3, 4, 5).
Content AI Team : The Content AI team at Instacart works alongside world-class engineers, data scientists, and product managers to advance generative AI, recommendations, and catalog intelligence in grocery ecommerce. We build cutting-edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage generative AI and LLMs to enhance and enrich Instacart’s catalog, driving AI-powered product understanding and content creation at scale. As part of Content AI, you'll work on high-impact AI solutions, applying LLMs, agentic systems, and computer vision to tackle complex challenges. We are passionate about pushing the boundaries of generative AI to shape the future of ecommerce. If you're excited about building state-of-the-art AI systems, we’d love to have you on board!
Past internship contributions include:
Tensor-based complementary recommendations, published at IEEE Big Data 2021 (Paper) Enhancing sequence-based recommendations for long-tail products (Blog)
About the Job
Based on your passion and background, you may choose to work in a few different areas:
- Query understanding - Using cutting-edge NLP technologies to understand the intent of user queries.
- Search relevance and ranking - Improving search relevance by incorporating signals from various sources.
- Ads quality, pCTR, etc. - Improving ads revenue and ROAS.
- Knowledge graphs - Working on graph data management and knowledge discovery, and creating a natural language interface for data access.
- Fraud detection and prevention - Using cost sensitive learning to reduce loss.
- Pricing - Estimating willingness-to-pay, and optimizing revenue and user experience.
- Logistics - Optimization in a variety of situations, including supply/demand prediction, last mile delivery, in-store optimization, etc.
About You
Minimum Qualifications:
- Ph.D. student in computer science, mathematics, statistics, economics, or related areas.
- Strong programming (Python, C++) and algorithmic skills.
- Good communication skills. Curious, willing to learn, self-motivated, hands-on.
Preferred Qualifications:
- Ph.D. student at a top tier university in the United States
- Prior internship/work experience in the machine learning space
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.
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