This is a high-ownership role at the intersection of causal inference, predictive modeling, and ... Experience building and deploying machine learning models * SQL fluency and hands-on experience ...
New
This is a high-ownership role at the intersection of causal inference, predictive modeling, and ... Experience building and deploying machine learning models * SQL fluency and hands-on experience ...
New
Data Scientist
Lindon, UT · On-site
This is a high-ownership role at the intersection of causal inference, predictive modeling, and ... Experience building and deploying machine learning models * SQL fluency and hands-on experience ...
New
Data Scientist
Lindon, UT · On-site
This is a high-ownership role at the intersection of causal inference, predictive modeling, and ... Experience building and deploying machine learning models * SQL fluency and hands-on experience ...
New
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 ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$98K - $134K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
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Senior Machine Learning Engineer
Lehi, UT · On-site +1
$98K - $134K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
Senior Machine Learning Engineer
Lehi, UT · On-site +1
$144K - $233K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
Senior Machine Learning Engineer
Lehi, UT · On-site
$144K - $233K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
Senior Machine Learning Engineer
Lehi, UT · On-site
$144K - $233K/yr
Optimize model inference, serving, and deployment for performance, cost, and scalability. * Partner ... Experience deploying machine learning models into production environments. * Familiarity with ...
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Senior Data Scientist
Lehi, UT · On-site
$180 - $250/hr
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Senior Data Scientist
Lehi, UT · On-site
$180 - $250/hr
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... and causal inference. * Proficiency in SQL for data querying and manipulation, with experience ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio ...
Senior Machine Learning Engineer
Sandy, UT · Hybrid
$99K - $136K/yr
As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech ... LoRA/PEFT for speech models, inference optimization (quantization, SGLang/vLLM serving for audio ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Orem, UT · Remote
... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Orem, UT · Remote
... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Orem, UT · On-site
... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Orem, UT · On-site
... causal reasoning, agentic systems, and product intelligence. The goal is not simply to build ... Preference and goal inference * Learning when intervention creates value versus friction Agentic ...
Applied AI Scientist
Lehi, UT · On-site
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 ...
Applied AI Scientist
Lehi, UT · On-site
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
Spanish Fork, UT · 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 ...
LSAT Logical Reasoning Tutor
Spanish Fork, UT · 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 ...
LSAT Logical Reasoning Tutor
Provo, UT · 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 ...
LSAT Logical Reasoning Tutor
Provo, UT · 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 ...
This role requires a combination of expertise in machine learning, natural language processing ... Build and maintain pipelines for real-time AI inference and automation. Monitoring and Optimization:
This role requires a combination of expertise in machine learning, natural language processing ... Build and maintain pipelines for real-time AI inference and automation. Monitoring and Optimization:
This role requires a combination of expertise in machine learning, natural language processing ... Build and maintain pipelines for real-time AI inference and automation. Monitoring and Optimization:
This role requires a combination of expertise in machine learning, natural language processing ... Build and maintain pipelines for real-time AI inference and automation. Monitoring and Optimization:
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 ...
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 ...
Causal Inference Machine Learning Postdoctoral information
See Orem, UT salary details
$30.9K - $32.9K
6% of jobs
$32.9K - $34.9K
0% of jobs
$34.9K - $36.9K
0% of jobs
$36.9K - $38.9K
0% of jobs
$38.9K - $40.9K
1% of jobs
$40.9K - $43K
4% of jobs
$43K - $45K
9% of jobs
$45.7K is the 25th percentile. Wages below this are outliers.
$45K - $47K
11% of jobs
The median wage is $47.8K / yr.
$47K - $49K
42% of jobs
$49.1K is the 75th percentile. Wages above this are outliers.
$49K - $51K
21% of jobs
$51K - $53K
5% of jobs
$30.9K
$47.1K
$53K
How much do causal inference machine learning postdoctoral jobs pay per year?
As of Sep 2, 2026, the average yearly pay for causal inference machine learning postdoctoral in Orem, UT is $47,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $49,100.00 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?
| 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.
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 are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Orem, UT?
For Causal Inference Machine Learning Postdoctoral jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Orem, UT look for?
The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Orem, UT are:
Job description
Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts-especially our own employees! And as winners of Glassdoor's Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk.
As a Data Scientist working with Awardco's Go-to-Market (GTM) teams, you'll have the opportunity to partner with stakeholders across Marketing, Sales, Revenue Operations, and Customer Success, helping influence Awardco's customer acquisition and retention strategy. You'll dig into customer behavior, uncover churn and retention insights, and design experiments that reveal what actually drives retention and expansion. You'll also build models that flag risk and opportunity early and explore open-ended questions that shape how we think about customer success.
This is a high-ownership role at the intersection of causal inference, predictive modeling, and business strategy, where you'll bring structure to ambiguous problems and work in a modern, fast-paced data environment, turning data into insights that help the business grow.
What you will do:
- Act as a thought partner to GTM stakeholders throughout each stage of the initiative lifecycle - from identifying new opportunities, to measuring the effectiveness of initiatives, to contributing to final shipping decisions
- Design, run, and analyze experiments (e.g., A/B tests) and other causal-inference methods to measure the true impact of GTM initiatives
- Explore open-ended questions and build measurement frameworks to identify the drivers of key business metrics, size the opportunity to improve them, and turn ambiguous patterns into clear hypotheses worth testing.
- Build, validate, and maintain predictive models such as customer health/churn scores, expansion likelihood, predicted LTV, and lead scoring
- Partner with our BI and Data Engineering teams on metric definitions and data infrastructure
- Work primarily in Python and SQL against Snowflake, our cloud data warehouse, helping build reliable analytics and ML infrastructure
- Bachelor's or Master's degree in Statistics, Computer Science, Economics, Data Science, or another quantitative field
- 3-5 years of applied data science experience
- Strong Python proficiency and experience with common data science libraries (e.g. pandas, scikit-learn, statsmodels)
- Familiarity with designing and analyzing A/B tests, with working knowledge of causal inference methods (e.g., difference-in-differences, synthetic control, propensity scoring)
- Familiarity with data visualization libraries (e.g. matplotlib, seaborn, plotly) and tools (e.g. Streamlit, Tableau, Looker)
- Experience building and deploying machine learning modelsÂ
- SQL fluency and hands-on experience with a cloud data warehouse (we use Snowflake)
- A track record of partnering with non-technical stakeholders as a strategic advisor
- Comfort scoping moderately ambiguous problems with guidance, rather than needing a fully specified roadmap
- Strong exploratory/ad hoc analytical instincts - comfortable digging into open-ended questions without a pre-defined method
What will make you stand out:Â
- Experience in B2B SaaS, customer success, or go-to-market analytics
- Experience working with modern ML Ops tools, such as Snowflake or Databricks ML features (e.g. Snowflake feature store, model registry and inference services)
- Experience working with orchestration tools such as Airflow or Orchestra
- Experience on a small or early-stage data science team
Why Awardco:
- We have a revolutionary, client-approved product.
- One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few.
- Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces.
- Backed by renowned investors, both local and national.