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Causal Inference Machine Learning Postdoctoral Jobs in Newport, KY

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Design and implement causal inference and causal machine learning solutions. * Measure the impact of business treatments on customer behavior, revenue, retention, and engagement. * Apply statistical ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Master's degree in Artificial Intelligence or Machine Learning * Proven expertise in the latest advancements in LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH

$109K - $132K/yr

Master's degree in Artificial Intelligence or Machine Learning * Proven expertise in the latest advancements in LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, inference ...

Pwc

AI Engineer

Cincinnati, OH · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... using quantization, inference acceleration, and model-routing techniques - Designing agent ...

ClifyX

AI/ML Senior Architect

Cincinnati, OH · On-site

... and Machine Learning solutions across various domains. The role involves collaborating with ... inference services. • Build batch and real-time scoring solutions. • Ensure solutions meet ...

84.51°

Lead Data Scientist (P3764)

Cincinnati, OH · On-site

This role is ideal for someone who combines depth in applied machine learning with strong systems ... Influence design decisions related to real-time inference, feature access, system integration ...

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ... Lead solution designs for AI platforms including vector databases, embedding pipelines, inference ...

TQL

AI Architect

Cincinnati, OH

$60.50 - $79.50/hr

Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ... Lead solution designs for AI platforms including vector databases, embedding pipelines, inference ...

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Causal Inference Machine Learning Postdoctoral information

See Newport, KY salary details

$34.6K

$52.9K

$59.5K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Sep 11, 2026, the average yearly pay for causal inference machine learning postdoctoral in Newport, KY is $52,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,200.00 and $55,100.00 per year, depending on experience, location, and employer.

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 job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Newport, KY look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Newport, KY are:

Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Newport, KY as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,877 per year, or $25.4 per hour.

Sr. Data Scientist (Causal Inference & Experimentation)

Cincinnati, OH • On-site

Apidel Technologies
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Apidel Technologiesexternal

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

Job description

Duration: 12+ Months (Contract-to-Hire)
Location: Cincinnati, OH (Onsite 5 Days/Week)
Candidates willing to relocate within the first 2 months will be considered.
Job Summary:
o Seeking a Senior Data Scientist to develop and scale AI and advanced analytics solutions focused on experimentation, causal inference, and customer insights. The ideal candidate will have expertise in statistical modeling, econometrics, Generative AI, and production machine learning while partnering with cross-functional teams to deliver business-impacting solutions.
Required Skills:
o 3+ years of hands-on Data Science experience.
o Strong experience with Causal Inference, Causal ML, and Econometrics.
o Experience designing and analyzing A/B tests, experimentation, and treatment effect measurement.
o Hands-on experience with Generative AI, including LLMs, Prompt Engineering, RAG, or Agentic AI.
o Strong programming skills in Python, SQL, and Git.
o Experience with Azure, Databricks, or similar cloud-based ML platforms.
o Experience building and deploying production ML solutions using software engineering best practices
o Strong communication skills with the ability to translate technical findings into business value
o Bachelor''s or Master''s degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or a related quantitative field
Preferred Skills:
o MLOps (CI/CD, model deployment, monitoring).
o Retail, CPG, eCommerce, or customer analytics experience.
o Personalization, recommendation systems, or loyalty analytics.
o Experience mentoring or leading technical initiatives.
Key Responsibilities:
o Design, develop, and deploy AI and Generative AI solutions using LLMs, RAG, and agentic workflows.
o Apply causal inference and econometric methods to measure business impact and customer behavior.
o Build scalable ML models and experimentation frameworks for production environments.
o Partner with product managers and business stakeholders to define analytics strategy and prioritize initiatives.
o Research and implement emerging AI/ML technologies to improve business outcomes.
o Communicate complex analytical insights to both technical and non-technical audiences.
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About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012

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