... causal inference, and customer insights. The ideal candidate will have expertise in statistical ... machine learning while partnering with cross-functional teams to deliver business-impacting ...
... causal inference, and customer insights. The ideal candidate will have expertise in statistical ... machine learning while partnering with cross-functional teams to deliver business-impacting ...
Data Scientist
Cincinnati, OH · On-site
$120 - $150/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 ...
Data Scientist
Cincinnati, OH · On-site
$120 - $150/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 ...
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 ...
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 ...
Data Scientist
Cincinnati, OH · On-site
... Machine Learning (ML), Microsoft Azure, Python, SQL, and Statistical Models to drive data-driven ... The ideal candidate will have a strong background in causal inference, econometrics ...
Data Scientist
Cincinnati, OH · On-site
... Machine Learning (ML), Microsoft Azure, Python, SQL, and Statistical Models to drive data-driven ... The ideal candidate will have a strong background in causal inference, econometrics ...
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate
Columbus, OH · On-site
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate
Columbus, OH · On-site
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate
Columbus, OH · On-site
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
Machine Learning Intelligent Operations Team - Quant Analytics Senior Associate
Columbus, OH · On-site
... using causal inference and machine learning techniques, and identifying opportunities to enable customer self-service across various Chase customer engagement channels. Job Responsibilities:
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 ...
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 ...
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 ...
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 ...
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
Lead Data Scientist
Columbus, OH · On-site
$100 - $130/hr
... causal inference, reinforcement learning, and emerging AI technologies. * Serve as the technical ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
Lead Data Scientist
Columbus, OH · On-site
$100 - $130/hr
... causal inference, reinforcement learning, and emerging AI technologies. * Serve as the technical ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
This individual will serve as an internal expert in program evaluation and causal inference ... machine learning techniques. * Identifies patterns and trends in data to provide insights and ...
This individual will serve as an internal expert in program evaluation and causal inference ... machine learning techniques. * Identifies patterns and trends in data to provide insights and ...
Lead Data Scientist
Columbus, OH · On-site
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
Lead Data Scientist
Columbus, OH · On-site
Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and ... Strong understanding of machine learning algorithms, statistical modeling, and optimization ...
This individual will serve as an internal expert in program evaluation and causal inference ... machine learning techniques. * Identifies patterns and trends in data to provide insights and ...
This individual will serve as an internal expert in program evaluation and causal inference ... machine learning techniques. * Identifies patterns and trends in data to provide insights and ...
Build and improve ML components across data, training, evaluation, and inference. * Fine-tune and ... Strong foundations in machine learning and modern neural architectures. * Some hands-on experience ...
New
Build and improve ML components across data, training, evaluation, and inference. * Fine-tune and ... Strong foundations in machine learning and modern neural architectures. * Some hands-on experience ...
New
Build and improve ML components across data, training, evaluation, and inference. * Fine-tune and ... Strong foundations in machine learning and modern neural architectures. * Some hands-on experience ...
New
Build and improve ML components across data, training, evaluation, and inference. * Fine-tune and ... Strong foundations in machine learning and modern neural architectures. * Some hands-on experience ...
New
Data Scientist
Westlake, OH · On-site
Design, develop, and deploy production-grade machine learning systems that directly impact ... Familiarity with causal inference, uplift modeling, or reinforcement learning in real-world systems.
Data Scientist
Westlake, OH · On-site
Design, develop, and deploy production-grade machine learning systems that directly impact ... Familiarity with causal inference, uplift modeling, or reinforcement learning in real-world systems.
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.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Ohio? For Causal Inference Machine Learning Postdoctoral jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Ohio look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Ohio are:
What cities in Ohio are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Ohio with the most Causal Inference Machine Learning Postdoctoral job openings:
Other
Posted 15 days ago
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.
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.
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