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Causal Inference Machine Learning Postdoctoral Jobs in Alabama

... machine learning. Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and ...

... inference layers · Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and ... machine learning and signal processing to real-world dynamic systems (graduate research counts if ...

... inference layers · Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and ... machine learning and signal processing to real-world dynamic systems (graduate research counts if ...

As a Staff Machine Learning Engineer , you will be the lead architect of Radar (and secondary EO/IR ... inference layers • Advance fusion-aware ML models that integrate Radar with EO/IR, AIS, and ...

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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?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

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 Alabama?

For Causal Inference Machine Learning Postdoctoral jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Alabama look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Alabama are:

What cities in Alabama are hiring for Causal Inference Machine Learning Postdoctoral jobs?

Cities in Alabama with the most Causal Inference Machine Learning Postdoctoral job openings:

Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Data Scientist I

Birmingham, AL • On-site


Shipt
Retail • 501 - 1,000 employees

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

2nd of 24 rated food delivery companies

Great coworkers

People enjoy working here

Good employer


Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Shipt, Inc. seeks a full-time Senior Data Scientist I responsible for performing a variety of statistical analysis and machine learning tasks, ranging from designing and evaluating experiments, conducting research, developing predictive and causal models, building marketplace optimization algorithms, to informing decision-making through insights, data storytelling, and reporting. Requires a Master's degree or equivalent in Data Science, or Mathematics and 3 years of experience working with statistical analysis and machine learning. Must also have 24 months of experience with each of the following: (1) apply advanced causal inference methods, including treatment effect estimation, counterfactual analysis, and advanced causal machine learning approaches such as Double Machine Learning, Meta-Learners and Causal Forests, to evaluate the impact of product features, policies, or business strategies; (2) apply statistical analysis and machine learning techniques to develop predictive models and solve complex business problems; (3) work in Python and utilize data analysis and machine learning, including Pandas, Numpy, LightGBM, Scikit-Learn, PyTorch, and causal inference libraries including EconML and Statsmodels; (4) consult with internal teams regarding model performance and translate analytical findings into actionable insights and decision strategies; and (5) utilize data visualization tools, including Tableau, to communicate analytical results and business insights. Employer will accept experience gained concurrently. Telecommuting available from anywhere in US. HQ at 420 20th St N, Suite 100, Birmingham, AL 35203. Salary: $123,000 to $247,000/year. Please go to our website for benefits information and to apply: https://www.shipt.com/careers/ or apply by email at careers@shipt.com.


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About Shipt

Sourced by ZipRecruiter

Shipt is a membership-based marketplace that helps people get the things they need, like fresh produce and household essentials, from stores they trust. Help people save time, and have fun while you're at it - there's never been a better time to join Shipt.

Industry

Retail

Company size

501 - 1,000 Employees

Headquarters location

Birmingham , AL, US

Year founded

2014


What Shipt employees say

Pay

Hours and flexibility

Workplace

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