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Causal Inference Machine Learning Postdoctoral Jobs in Saint John, IN

Principal Applied Scientist

Chicago, IL · On-site

$214K - $350K/yr

Mentors data scientists, machine learning engineers, researchers, and technical leaders. Minimum ... learning, information retrieval, forecasting, recommender systems, optimization, causal inference ...

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong ... Experience with causal inference, experimental design, or behavioral modeling * Experience ...

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong ... Experience with causal inference, experimental design, or behavioral modeling * Experience ...

Deep expertise in statistical modeling, machine learning, and probabilistic reasoning * Strong ... Experience with causal inference, experimental design, or behavioral modeling * Experience ...

Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from ... Understanding of machine learning fundamentals - neural network architectures, inference ...

Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from ... Understanding of machine learning fundamentals - neural network architectures, inference ...

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and ... causal inference to solve business problems. * Support building software applications and ...

Data Scientist I

Chicago, IL · On-site

$95K - $113K/yr

Learn and apply best practices and emerging tools in machine learning, AI, and causal inference. Qualifications We know it's rare to check every box. If you meet most of these, we encourage you to ...

Showing results 21-40

Causal Inference Machine Learning Postdoctoral information

See Saint John, IN salary details

$32.3K

$49.3K

$55.5K

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

As of Sep 3, 2026, the average yearly pay for causal inference machine learning postdoctoral in Saint John, IN is $49,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $51,400.00 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 cities near Saint John, IN are hiring for Causal Inference Machine Learning Postdoctoral jobs?

Cities near Saint John, IN with the most Causal Inference Machine Learning Postdoctoral job openings:

Principal Applied Scientist

Elevance Health

Chicago, IL • On-site

$214K - $350K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Elevance Health rating

7.5

Company rating: 7.5 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

217th of 315 rated insurance


Job description

Anticipated End Date:

2026-09-05

Position Title:

Principal Applied Scientist

Job Description:

Principal Applied Scientist

Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace.Ideal candidates will be able to report to on of our Pulse Point locations in Walnut Creek, CA, New York, NY or Chicago, IL. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Principal Applied Scientist is responsible for leading the design, development, deployment, and scaling of advanced artificial intelligence and machine learning solutions that drive enterprise transformation and measurable business outcomes. Serves as a senior technical authority for artificial intelligence strategy, architecture, governance, and production implementation.
How you will make an impact:

  • Defines and drives enterprise artificial intelligence and machine learning strategy aligned with organizational priorities.

  • Leads the design, validation, deployment, monitoring, and continuous improvement of advanced artificial intelligence and machine learning solutions.

  • Architects scalable end-to-end production systems, including model training, evaluation, deployment, monitoring, and lifecycle management.

  • Translates complex business challenges into scalable artificial intelligence solutions with measurable outcomes.

  • Establishes technical standards, reusable patterns, and best practices for enterprise artificial intelligence development and governance.

  • Partners with business and technology leaders to influence capability roadmaps and deliver sustainable business value.

  • Mentors data scientists, machine learning engineers, researchers, and technical leaders.

Minimum Requirements:

  • Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, Engineering, Data Science, Economics, or a related quantitative discipline and a minimum of 10 years of experience in machine learning, data science, artificial intelligence, advanced analytics, or related technical fields; or any combination of education and experience which would provide an equivalent background.

  • Experience leading artificial intelligence or machine learning initiatives from concept through production deployment required.

  • Experience with Python, machine learning frameworks, cloud-based artificial intelligence, or machine learning platforms, MLOps, model deployment, monitoring, lifecycle management, and structured and unstructured data systems required.

Preferred Skills, Capabilities and Experiences:

  • Experience with generative artificial intelligence, large language models, reinforcement learning, information retrieval, forecasting, recommender systems, optimization, causal inference, experimentation, or decision intelligence preferred.

  • Experience in healthcare, insurance, financial services, life sciences, or other regulated industries preferred.

For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $214,192 to $350,496

Location: California, New York, Illinois

In addition to your salary, Elevance Health offers benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.

*The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, paid time off, stock, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Job Level:

Non-Management Exempt

Workshift:

Job Family:

RDA > Data Science

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.


Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.


How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.


We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.


Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.


The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.


Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.


Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words - the job is posted until 3/13, not through 3/13.


What Elevance Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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