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Causal Inference Machine Learning Postdoctoral Jobs in New Jersey

(USA) Principal, Data Scientist

West New York, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Hackensack, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Sayreville, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Union City, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Jersey City, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Clifton, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

Senior Data Scientist

Camden, NJ

$109K - $150K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and unsupervised learning, forecasting, experimentation, causal inference, and optimization ... Experience developing and deploying machine learning solutions using libraries and frameworks such ...

(USA) Principal, Data Scientist

Fort Lee, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Paterson, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

(USA) Principal, Data Scientist

Bayonne, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

Senior Data Scientist

Camden, NJ · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and unsupervised learning, forecasting, experimentation, causal inference, and optimization ... Experience developing and deploying machine learning solutions using libraries and frameworks such ...

(USA) Principal, Data Scientist

Newark, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design and implement machine learning models, including feature engineering and validation, to ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

Senior Data Scientist

Camden, NJ · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... and unsupervised learning, forecasting, experimentation, causal inference, and optimization ... Experience developing and deploying machine learning solutions using libraries and frameworks such ...

Principal, Data Scientist

Hoboken, NJ · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies. * Experience building and deploying scalable machine learning solutions ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong experience in machine learning: classification models, regression models, NLP, forecasting, unsupervised models, optimization, graph ML, causal inference, causal ML, statistical learning ...

Showing results 41-60

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 New Jersey?

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

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

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

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

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

(USA) Principal, Data Scientist

Walmart

West New York, NJ • On-site

$132K - $264K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,451 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions that drive strategic business decisions. This role requires deep expertise in data architecture, statistical analysis, and coding to translate complex business challenges into scalable, data-driven solutions. You will collaborate across functions to identify data sources, validate models, and ensure impactful insights. By mentoring teams and applying innovative techniques, you will enhance Walmart’s data capabilities and contribute to delivering measurable business value through rigorous analysis and technology-driven strategies.
About the team:
At Walmart Connect, the AdTech Engineering team builds advanced platforms and AI-driven solutions that unify advertising, commerce, and data. The team tackles complex challenges including automated media generation and next-generation AI systems to improve operations for advertisers, sellers, and internal partners. Utilizing extensive first-party data and an AI-first approach, the team pioneers intelligent agents and autonomous workflows that shape the future of retail advertising. Engineers contribute to impactful products that drive measurable outcomes, accelerate growth, and influence millions of customer journeys daily, applying expertise in machine learning, data architecture, and advanced analytics.
What you'll do:
  • Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges.
  • Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives.
  • Identify, source, and validate high-quality data from to support analytical modeling and insights generation.
  • Design and implement machine learning models, including feature engineering and validation, to drive predictive and prescriptive analytics.
  • Collaborate with stakeholders to translate business requirements into actionable data strategies and visualization frameworks.
  • Mentor team members on analytical techniques, coding best practices, and model development.
  • Monitor model performance and ensure sustainability through lifecycle management and continuous improvement.

What you'll bring:
  • Extensive experience in machine learning algorithms, deep learning, and advanced statistical analysis.
  • Proficiency in Python programming and familiarity with full model deployment life cycle. 
  • Strong knowledge of data architecture, causal inference, and agentic AI systems.
  • Demonstrated ability to develop, test, and deploy robust analytical models using variety of data sources.
  • Expertise in translating complex business problems into data-driven solutions with measurable impact.
  • Proven leadership skills in mentoring teams and guiding technical development.
  • Ability to communicate insights effectively through advanced data visualization and storytelling techniques.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 221 River St, Hoboken, NJ 07030, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

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Walmart logo

About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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