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Causal Inference Machine Learning Postdoctoral Jobs in Utah

Sr Manager, Product Analytics

Lehi, UT ยท On-site

$118K - $156K/yr

Familiarity with causal inference techniques (e.g., DiD, PSM, Synthetic Control). * Track record of ... fax machines. SAFETY: Vivint enforces a safety culture whereby all employees have the ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

Optimized models for inference efficiency, latency, and cost management Strongly Preferred * Bachelor's degree in Computer Science, Machine Learning, or a related field * AWS Certified Machine ...

Sr. Applied AI Engineer

Salt Lake City, UT ยท On-site

$101K - $138K/yr

Optimized models for inference efficiency, latency, and cost management Strongly Preferred * Bachelor's degree in Computer Science, Machine Learning, or a related field * AWS Certified Machine ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Develop and enhance distributed training and inference workflows, leveraging data-driven approaches ... Large-scale graph representation learning and Graph Neural Networks (GNNs) (e.g., GCN/GAT/GraphSAGE ...

LSAT Logical Reasoning Tutor

Provo, UT ยท Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

LSAT Logical Reasoning Tutor

Logan, UT ยท Remote

$26 - $40/hr

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Building on our leadership in microprotein discovery and function, we are now expanding in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to ...

Sr. Data Scientist

Provo, UT ยท On-site

$118K - $154K/yr

Develop predictive models and apply advanced statistical and machine learning techniques to ... Experience evaluating educational programs using causal or quasi-experimental methods What we offer ...

Showing results 21-40

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:
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.

Sr Manager, Product Analytics

NRG

Lehi, UT โ€ข On-site

$118K - $156K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 24 days ago


Job description

Welcome to the intersection of energy and home services. At NRG, we're driven by our passion to create a smarter, cleaner and more connected future.

Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. We find purpose in proactively protecting and keeping our customers connected to home, no matter where they are. Join the Smart Home team to create smarter, safer and more sustainable homes.

Job Description
Vivint pioneers cutting-edge smart home security solutions, empowering customers to live a safer, smarter, and more sustainable life. We seek passionate, innovative engineers eager to transform the daily lives of millions throughย groundbreaking solutions. We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes.

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About This Role

ย 

We are seeking a Sr Manager, Product Analytics to lead a high-impact team of data scientists and data engineers that drive actionable insights across product, customer, and business domains. Product Analytics owns the development of data strategy and performance metrics that guide decision-making across the smart home ecosystem. This leader will partner closely with senior stakeholders to shape product roadmaps, scale analytics infrastructure, and champion a data-first culture.

  • Team Leadership - Manage, mentor, and grow a hybrid high-performing team of data scientists, analysts, and engineers. Foster a collaborative, inclusive, and innovative culture. Prioritize resources and remove blockers.
  • Strategic Analytics & Metrics Ownership - Define, track, and own key product and customer experience metrics across the smart home lifecycle.
  • Cross-Functional Collaboration & Influence - Partner with Product, Design, and Engineering to align analytics with business priorities. Engage executive stakeholders and external business units to clearly define requirements, set expectations, and influence strategic decisions through data.
  • AI/ML Enablement & Data Flywheel - Define and prioritize data instrumentation strategies to enable actionable behavioral and device data capture to close the feedback loop for product refinement.
  • Analytics Infrastructure - Oversee scalable analytics architecture, dashboards, and internal tooling to democratize insights.
  • Data Governance & Privacy - Ensure data quality, consistency, and governance across teams and platforms.

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Required Qualifications

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  • Education - Master's degree in a quantitative field (e.g., Statistics, Data Science, Business Analytics, Computer Science, Engineering, or MBA with strong analytics focus).
  • Experience -
    • 7+ years in analytics or data science roles, with 2+ years in a leadership or managerial capacity.
    • Proven experience in product analytics, customer segmentation, and experimentation.
  • Technical Skills -
    • Proficiency in SQL, Python, R.
    • Proficiency in database technologies (e.g., BigQuery, MongoDB, Postgres, Firestore, Redis, Spanner)
    • Experience with data visualization tools (e.g., Tableau, Mixpanel, Elastic).
    • Familiarity with cloud (e.g., AWS, GCP) and big data platforms/tools (e.g., Databricks, Hadoop).
    • Experimentation design (e.g., A/B testing, Multivariate Testing (MVT), Cohort Analysis).
  • Business Acumen -
    • Strong understanding of product lifecycle, customer journey, and business KPIs.
    • Ability to influence product and business strategy through data.

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Preferred Qualifications

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  • Experience in theย IoT or smart home industry.
  • Graph database technologies (e.g., Neo4j)
  • Time-series database technologies (e.g., InfluxDB)
  • Background inย ML products (e.g., LLM,ย AI Agents, Vision, etc)
  • Experience withย mobile app analyticsย and tools.
  • Familiarity withย causal inference techniquesย (e.g., DiD, PSM, Synthetic Control).
  • Track record ofย cost reductionย orย revenue growthย through data initiatives.
  • Data monitoring (e.g., Data lineage, Data quality, Security, Statistical Process Control (SPC))

Working at Vivint:

Learn about the Vivint Culture and why it's a great place to grow your career!

Here are some highlighted perks you should ask us about:

  • Free daily lunch and drinks on site
  • Paid holidays and flexible paid time away
  • Employee/Friends/Family Discounts
  • Onsite health clinic, gym, gaming tables
  • Medical/dental/vision/life coverage & 24/7 Medical Hotline
  • 401(k) + Employer Match
  • Employee Resource Groups
  • Quarterly Innovation Weeks

WORKING CONDITIONS:ย 

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

SAFETY:

Vivint enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment.ย  Each new employee is responsible for completing all training requirements.ย  Additionally, the employee must accept they have responsibility for maintaining the safety of themselves, their co-workers, and the public.ย  Employee must adhere to all written and verbal instructions, promptly report and correct all hazards or unsafe conditions, question non-standard operations or unmitigated hazards, and provide feedback to management on all safety issues.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. ย 

Official description on file with Talent.


NRG logo

About NRG

Sourced by ZipRecruiter

At NRG, we're bringing the power of energy to people and organizations by putting customers at the center of everything we do. We generate electricity and provide energy solutions and natural gas to millions of customers through our diverse portfolio of retail brands. A Fortune 500 company, operating in the United States and Canada, NRG delivers innovative solutions while advocating for competitive energy markets and customer choice, working towards a sustainable energy future. More information is available at www.nrg.com. Connect with NRG on Facebook, LinkedIn and follow us on Twitter @nrgenergy.

Industry

Oil and coal products manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Houston, TX, US