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Causal Inference Machine Learning Postdoctoral Jobs in Utah

Arturo

Senior Data Engineer

South Jordan, UT · On-site

$100K - $137K/yr

Familiarity with machine learning concepts * Familiarity with asynchronous programming Benefits Key ... Critical Thinking - You incorporate analysis, interpretation, inference, explanation, self ...

Varsity Tutors

Statistics Graduate Level Tutor

Logan, UT · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Statistics Graduate Level Tutor

Provo, UT · Remote

$18 - $40/hr

... Bayesian inference, regression analysis, multivariate methods, experimental design, and ... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Orion

Senior Privacy & AI Risk Analyst

Lehi, UT · Hybrid

Understands core AI and machine-learning concepts and the associated data-privacy risks, such as the use of personal information in training and inference, profiling, and transparency * Has a minimum ...

VAST Data

Customer Support Engineer

Lehi, UT · On-site

... inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost ... machine learning, object storage, and high-performance computing at customer sites and in the lab.

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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.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Utah? For Causal Inference Machine Learning Postdoctoral jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Utah look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Utah are:
What cities in Utah are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Utah with the most Causal Inference Machine Learning Postdoctoral job openings:
Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Utah as of June 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Senior Structures Data Scientist

Utah Division of Human Resource Management

Salt Lake City, UT • On-site

$41.09 - $65.15/hr

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Job description

Senior Structures Data Scientist
The Utah Department of Transportation (UDOT) is seeking a forward-thinking, highly motivated professional with exceptional communication skills and deep technical expertise to serve as our Senior Structures Data Scientist.
About the Role
In this role, you will act as the primary data steward for the Structures Division, spearheading data analytics, data modeling, and data management to optimize workflows, drive automation, and inform critical decisions.
Position Information
Here is some important information about this position:
  • Salary Range: $41.09 - $65.15
  • FT/PT Status: Full Time
  • Background Check: You must successfully pass a criminal history check.
  • Schedule Code: B - Competitive Career Service (12 month probationary period)
  • Location: Calvin Rampton Building - 4501 South 2700 West, Taylorsville, Utah
  • Recruiter: Jill Barela I jbarela@utah.gov I 385-202-4484
  • Application Deadline: 08/10/2026
    • *This job posting may close at any time after the minimum advertising period of three (3) business days has passed, should a sufficient applicant pool be received. Applicants are encouraged to apply as early as possible.

Key Responsibilities
  • Advanced Analytics
    • Build interpretable, "white-box" predictive models to identify structural deterioration patterns. Use rigorous statistical methods to establish and validate causal relationships.
    • Integrate deterioration models with Lifecycle Cost Analysis (LCCA) to determine optimal intervention windows, maximizing ROI and infrastructure lifespan.
    • Assess how environmental, structural, and operational stresses impact degradation over time.
    • Align model outputs with FHWA NBI metrics and UDOT's TAMP standards to justify asset management budgets and federal funding requests.
    • Translate complex findings, statistical anomalies, and technical limitations into clear, actionable business cases for various stakeholders.
  • Data Engineering and Governance
    • Oversee and report on data quality. Champion improvement to data quality, consistency, and accuracy.
    • Architect and maintain automated ETL/ELT pipelines to ingest, clean, standardize and validate datasets from diverse sources.
    • Develop automated data quality and validation frameworks to detect anomalies in real-time, ensuring infrastructure datasets are reliable and compliant before entering production.
    • Establish standardized documentation framework to eliminate technical silos and preserve institutional continuity.
  • Production, Deployment and Collaboration
    • Collaborate with cross-functional software and cloud engineering teams to automate the deployment, real-time monitoring, and scaling of models in production.
    • Act as the primary technical liaison, driving collaboration between the Structures Division, Division of Technology Services (DTS), cloud engineering, and external partners.
    • Translate validated algorithms into interactive dashboards, real-time APIs, and fully automated asset-scoring engines to deliver actionable, real-time insights for the division.
    • Research, investigate, and recommend technologies including web, mobile and other new or emerging technologies.
    • Meet with vendors on new and existing products, evaluate usefulness and cost of products and make recommendations.

Qualifications
  • A Bachelor's degree (or higher) from an accredited institution in Data Management, Business Administration, Math, Information Science, or another related field AND at least six (6) years of professional relevant experience in data analytics or other related field.
    • Note: Directly related professional experience may be substituted for the education requirement on a year-for-year basis (e.g., 10 years of total related experience if no degree is held).

Preferred Qualifications
Preference may be given to candidates who possess one or more of the following:
  • Structural Engineering/Bridge Related Experience: Background in bridge design, in-service inspection, load ratings, construction, and/or the long-term monitoring of concrete, steel or other materials used in bridge construction
  • Data Visualization Tools: Experience using Microsoft Power BI, Looker Data Studio, or ArcGIS Online.
  • AI and Machine Learning: Experience applying artificial intelligence (AI) and machine learning (ML) techniques to data management challenges.
  • Google Suite of Tools: Advanced experience utilizing Google Workspace, including, but not limited to, AppSheets, Google Drive, or other related data capture and storage tools
  • UDOT: Prior experience navigating and leveraging existing UDOT data sets.

Knowledge, Skills, & Abilities
In order to be successful, the following are essential:
  • Technical Proficiency: Professional, hands-on experience programming in Python or R, alongside strong proficiency in writing complex SQL queries for relational databases.
  • Legacy Tooling: Familiarity with Visual Basic for Applications (VBA) in Excel to create, maintain, and optimize macros.

Why You Should Join Our Team
A Mission That Matters - At UDOT, our mission is to "Enhance quality of life through transportation." We help the traveling public get where they want, when they want, as safely as possible. By joining our team, you contribute to the framework of Good Health, Connected Communities, Better Mobility, and a Strong Economy for all of Utah.
Our Culture and Values - We aren't just a state agency; we are a team built on an internal culture of Trust, Teamwork, and Flexibility. We live by the values of Respect, Integrity, and Caring. If these values resonate with you, you will find a home here!
The Agency
For more information on the Utah Department of Transportation, click here.
Benefits at A Glance
  • Exceptional Health Coverage: We offer some of the most competitive medical premiums in the industry, including comprehensive family plans with very low out-of-pocket costs and HSA options.
  • Retirement Choice: Flexibility between a 10% employer-paid 401(k) (no match required) or a Pension/401(k) Hybrid plan.
  • Generous Paid Time Off: 12 paid holidays per year plus 8 hours of combined leave (4 annual and 4 sick) accrued each pay period.
  • Dental & Vision: Multiple high-quality plan options to fit your needs.

EEO Statement
The State of Utah is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, please contact (801) 957-9390.

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