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Causal Inference Machine Learning Postdoctoral Jobs in New Jersey

Walmart

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132K - $264K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business ...

Jobtailor

Principal Data Scientist

Hoboken, NJ · On-site

$120 - $160/hr

Design and implement machine learning models to drive predictive and prescriptive analytics ... Strong knowledge of data architecture, causal inference, and agentic AI systems. * Demonstrated ...

New

AbbVie

Principal Data Scientist

Florham Park, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...

AbbVie

Principal Data Scientist

Florham Park, NJ · On-site

$124K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...

Rutgers University

Postdoctoral Associate (Faculty)

Newark, NJ · On-site

$65K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience with place-based research, causal inference, and program evaluation involving community ... The Postdoctoral Associate will work on projects involving longitudinal crime data and other ...

Berkley

Senior Data Scientist

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sitting at the intersection of advanced machine learning, software engineering, and business ... Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ...

Berkley

Senior Data Scientist

Jersey City, NJ

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sitting at the intersection of advanced machine learning, software engineering, and business ... Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes ...

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking ... Understanding of model optimization techniques such as quantization, pruning, and inference ...

Rutgers University

Post-Doctoral Associate

Piscataway, NJ · On-site

$63K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Expertise in causal inference and machine learning (in particular reinforcement learning), and strong experience with programming are desired.. Excellent communication and writing skills are needed.s ...

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All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in New Jersey

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:

Causal Inference Machine Learning Postdoctoral jobs near you

(USA) Principal, Data Scientist

Walmart

Hoboken, 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:
We are seeking a Principal Data Scientist to solve ambiguous, high-value retail problems through rigorous analytics, ML modeling, experimentation, causal inference, and deployment of scalable solutions. You will work closely with agentic AI teams to build the data science capabilities, measurement frameworks, and causal reasoning skills needed to answer users' business-impact questions. You will shape strategy, define success metrics, validate outcomes, deploy decision-ready models and tools, and translate complex evidence into clear recommendations for product, engineering, and executive partners.
About the team:
Walmart Data Ventures powers the data and AI platform supporting the world's largest retailer's suppliers. The Walmart Scintilla team transforms extensive data into actionable insights, recommendations, and innovations that enhance customer, merchant, and supplier outcomes. This team leads advancements in generative AI, agentic intelligence, machine learning, measurement, and causal inference to redefine retail experiences, optimize operations, and develop new business models. Joining this team offers the opportunity to lead cutting-edge AI initiatives that set industry standards and drive significant impact across the retail ecosystem.
What you'll do:
Drive high-impact data science initiatives across recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence.
  • Frame ambiguous business questions as testable hypotheses with clear metrics and decision criteria.
  • Build, validate, deploy, monitor, and improve predictive, causal, and ML solutions.
  • Design experiments and causal measurement approaches, including A/B tests, uplift modeling, difference-in-differences, and synthetic control.
  • Work with agentic AI teams to answer user questions about measurement, impact, and causal drivers.
  • Mentor team members on coding, modeling, visualization, and analytical storytelling.
  • Communicate insights to influence decisions and drive business value.

What you'll bring:
  • Deep expertise in data science, statistics, machine learning, experimentation, measurement, and causal inference.
  • Proven ability to turn ambiguous business problems into clear hypotheses, scalable analytical plans, and measurable outcomes.
  • Strong Python coding skills, with experience building production-quality data science solutions.
  • Experience deploying, monitoring, and improving models or decision tools in partnership with engineering teams.
  • Familiarity with emerging agentic AI architectures, systems, and evaluation patterns.
  • Experience using AI-assisted coding and engineering tools to improve development speed, quality, and iteration.
  • Ability to mentor others on coding, modeling, visualization, and analytical communication.
  • Strong business judgment and communication skills to influence product, engineering, and executive stakeholders.
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.
Bentonville, Arkansas US-09158: The annual salary range for this position is $110,000.00 - $220,000.00
Hoboken, New Jersey US-10279: 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 :
- StockMinimum 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 fieldPreferred 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...2608 Se J St, Bentonville, AR 72716-3724, United States of AmericaWalmart 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

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Hours and flexibility

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About Walmart

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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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