Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation * Experience in ...
Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation * Experience in ...
Establish robust experimentation and causal inference frameworks to measure the business impact of new features in a two-sided marketplace. * Conduct deep analyses of complex, large-scale datasets to ...
Establish robust experimentation and causal inference frameworks to measure the business impact of new features in a two-sided marketplace. * Conduct deep analyses of complex, large-scale datasets to ...
Senior Data Scientist
CA$107K - CA$156.20K/yr
Strong grounding in causal inference theory and applied methods. * AdvancedproficiencyinPython(e.g., pandas, NumPy,statsmodels, scikit-learn; experience with causal libraries such asDoWhy,EconML, or ...
Senior Data Scientist
CA$107K - CA$156.20K/yr
Strong grounding in causal inference theory and applied methods. * AdvancedproficiencyinPython(e.g., pandas, NumPy,statsmodels, scikit-learn; experience with causal libraries such asDoWhy,EconML, or ...
Apply statistical and causal inference methods to evaluate product changes for internal and external users. * Create compelling data stories through visualizations and reporting that influence ...
Apply statistical and causal inference methods to evaluate product changes for internal and external users. * Create compelling data stories through visualizations and reporting that influence ...
Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance ...
Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance ...
Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models ...
Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop state of the art models ...
Incorporate causal inference and counterfactual modeling to guide treatment simulations and improve decision-making. * Develop clinician-facing software tools that embed your ML models into UHN ...
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Incorporate causal inference and counterfactual modeling to guide treatment simulations and improve decision-making. * Develop clinician-facing software tools that embed your ML models into UHN ...
Lead Data Scientist
Ottawa, ON · On-site +1
Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference * Addressing confounding, selection bias, missingness, and other structural ...
Lead Data Scientist
Ottawa, ON · On-site +1
Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference * Addressing confounding, selection bias, missingness, and other structural ...
Lead Data Scientist
Toronto, ON · On-site +1
Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference * Addressing confounding, selection bias, missingness, and other structural ...
Lead Data Scientist
Toronto, ON · On-site +1
Designing rigorous observational research frameworks that move beyond correlation toward defensible causal inference * Addressing confounding, selection bias, missingness, and other structural ...
Senior Data Engineer
Toronto, ON · Remote
CA$11K - CA$140K/yr
Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs * Optimize pipeline performance and scalability in cloud data ...
Senior Data Engineer
Toronto, ON · Remote
CA$11K - CA$140K/yr
Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs * Optimize pipeline performance and scalability in cloud data ...
Senior Data Engineer
Ottawa, ON · Remote
CA$11K - CA$140K/yr
Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs * Optimize pipeline performance and scalability in cloud data ...
Senior Data Engineer
Ottawa, ON · Remote
CA$11K - CA$140K/yr
Collaborate with data science and product partners to ensure data models support causal inference and predictive analysis needs * Optimize pipeline performance and scalability in cloud data ...
Senior Manager, Statistical Modelling & Advanced Analytics
Toronto, ON · On-site
CA$90K/yr
Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data Apply methods such as forecasting, causal inference, experimentation ...
Senior Manager, Statistical Modelling & Advanced Analytics
Toronto, ON · On-site
CA$90K/yr
Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data Apply methods such as forecasting, causal inference, experimentation ...
Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data Apply methods such as forecasting, causal inference, experimentation ...
Lead the design and development of advanced statistical and quantitative models using retail, customer, and loyalty data Apply methods such as forecasting, causal inference, experimentation ...
Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning to solve important business problems * Partner closely ...
Apply methods such as forecasting, causal inference, experimentation, predictive modelling, segmentation, optimization, and statistical learning to solve important business problems * Partner closely ...
... causal inference, and experimental design • Practical experience with supervised and unsupervised learning, time series analysis, and anomaly detection • A/B test design and analysis from first ...
... causal inference, and experimental design • Practical experience with supervised and unsupervised learning, time series analysis, and anomaly detection • A/B test design and analysis from first ...
You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
You will work with colleagues with deep expertise in ML, DL, NLP, Gen AI, and Causal Inference with a diverse range of backgrounds We partner closely with top-notch engineers, product managers, sales ...
Sr. Data Scientist
Mississauga, ON · On-site +1
The Sr Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Sr. Data Scientist
Mississauga, ON · On-site +1
The Sr Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Senior/Lead Data Scientist
Mississauga, ON · On-site +1
The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Senior/Lead Data Scientist
Mississauga, ON · On-site +1
The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Sr. Data Scientist
Mississauga, ON · On-site +1
The Sr Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Sr. Data Scientist
Mississauga, ON · On-site +1
The Sr Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Senior/Lead Data Scientist
Mississauga, ON · On-site +1
The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Senior/Lead Data Scientist
Mississauga, ON · On-site +1
The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP whereappropriate. In addition ...
Causal Inference information
See Ontario salary details
$21K - $34.5K
2% of jobs
$34.5K - $48K
7% of jobs
$58.8K is the 25th percentile. Wages below this are outliers.
$48K - $61.5K
20% of jobs
$61.5K - $75K
7% of jobs
$75K - $88.5K
2% of jobs
$88.5K - $102K
0% of jobs
$102K - $115.5K
0% of jobs
$115.5K - $129K
0% of jobs
The median wage is $141.9K / yr.
$129K - $142.5K
12% of jobs
$155.9K is the 75th percentile. Wages above this are outliers.
$142.5K - $156K
25% of jobs
$156K - $169.5K
25% of jobs
$21K
$114.4K
$169.5K
How much do causal inference jobs pay per year?
As of May 29, 2026, the average yearly pay for causal inference in Ontario is $114,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $156,000.00 per year, depending on experience, location, and employer.
What is a Causal Inference job?
A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.
What are the key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?
Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.
What are some common challenges faced in a Causal Inference position?
Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.
More about Causal Inference jobs
What are popular job titles related to Causal Inference jobs in Ontario? For Causal Inference jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Ontario look for? The top searched job categories for Causal Inference jobs in Ontario are:
Job description
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the teamOur Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.What you'll doWe're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics.
Who you areWe're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum Requirements- PhD + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience
- Proficiency in SQL and a computing language such as Python or R
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Experience in working with cross-functional teams to deliver results
- Ability to communicate results clearly and a focus on driving impact
- A demonstrated ability to manage and deliver on multiple projects with a high attention to detail
- Solid business acumen and experience in synthesizing complex analyses into actionable recommendations
- A builder's mindset with a willingness to question assumptions and conventional wisdom
- Proficiency with AI tools to accelerate model development, analysis and coding
- Experience deploying models in production and adjusting model thresholds to improve performance
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- Experience with distributed tools such as Spark, Hadoop, etc.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)
About Stripe
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
San Francisco, CA, US
Year founded
2010