This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where ...
Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where ...
Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control ...
Develop and advance methods for causal inference in settings where standard randomization assumptions are violated, such as cluster-randomized designs, switchback experiments, and synthetic control ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Senior Data Scientist
San Diego, CA ยท On-site
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Senior Data Scientist
San Diego, CA ยท On-site
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Senior Manager - Data Science
Philadelphia, PA ยท Hybrid
$150K - $165K/yr
This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
Quick apply
Senior Manager - Data Science
Philadelphia, PA ยท Hybrid
$150K - $165K/yr
This role is heavily focused on econometric modeling, time series analysis, and causal inference , with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate ...
We are seeking a Senior Data Scientist - Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop ...
We are seeking a Senior Data Scientist - Causal Inference & Customer Loyalty to join a brand-new Business Unit (BU) supporting leading Retail and CPG clients. In this role, you will design, develop ...
Causal Inference & Experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of ...
Causal Inference & Experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of ...
Senior Data Scientist - Generative AI
San Mateo, CA ยท On-site +1
We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and ...
Senior Data Scientist - Generative AI
San Mateo, CA ยท On-site +1
We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and ...
Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. * Help define and contribute to centralized experimentation frameworks, tools ...
Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. * Help define and contribute to centralized experimentation frameworks, tools ...
Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. * Help define and contribute to centralized experimentation frameworks, tools ...
Apply advanced causal inference methods when experimentation isn't feasible or to inform test design and prioritization. * Help define and contribute to centralized experimentation frameworks, tools ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Senior Data Scientist, Causal Science
Manhattan, NY ยท On-site
$130K - $195K/yr
You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. Why This Role Matters Validating the Gateway: You ensure ...
Senior Data Scientist, Causal Science
Manhattan, NY ยท On-site
$130K - $195K/yr
You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. Why This Role Matters Validating the Gateway: You ensure ...
Senior Economist
$277K/yr
Join us. Senior Economist Expedia Group's Economics and Experimentation Science team is looking for a Senior Economist to drive causal inference and marketplace optimization at scale ...
New
Senior Economist
$277K/yr
Join us. Senior Economist Expedia Group's Economics and Experimentation Science team is looking for a Senior Economist to drive causal inference and marketplace optimization at scale ...
New
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Causal Inference: Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact. Metric Design & Impact ...
Senior Data Scientist, Causal Science
Manhattan, NY ยท On-site +1
$130K - $195K/yr
You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. Why This Role Matters Validating the Gateway: You ensure ...
Senior Data Scientist, Causal Science
Manhattan, NY ยท On-site +1
$130K - $195K/yr
You will raise the bar for the team by anticipating experimentation risks and mentoring junior analysts in the nuances of causal inference. Why This Role Matters Validating the Gateway: You ensure ...
Strong grounding in causal inference and experimental design, including the ability to distinguish correlation from causal result. * Ability to work with messy, real-world data and make pragmatic ...
Quick apply
Strong grounding in causal inference and experimental design, including the ability to distinguish correlation from causal result. * Ability to work with messy, real-world data and make pragmatic ...
Causal Inference information
See salary details
$55K - $62.3K
0% of jobs
$62.3K - $69.6K
1% of jobs
$69.6K - $77K
3% of jobs
$77K - $84.3K
17% of jobs
$85.8K is the 25th percentile. Wages below this are outliers.
$84.3K - $91.6K
18% of jobs
The median wage is $96.2K / yr.
$91.6K - $98.9K
17% of jobs
$98.9K - $106.2K
18% of jobs
$106.5K is the 75th percentile. Wages above this are outliers.
$106.2K - $113.5K
17% of jobs
$113.5K - $120.9K
6% of jobs
$120.9K - $128.2K
1% of jobs
$128.2K - $135.5K
1% of jobs
$55K
$99.2K
$135.5K
How much do causal inference jobs pay per year?
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.
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.

Full-time
Posted 17 days ago
Job description
Location: Philadelphia (Hybrid)
Experience: 5+ years
Full Time Role
Role Overview
We are looking for a Senior Manager - Data Science (Econometrics & Time Series) to lead advanced analytical initiatives for a major Telecommunications client.
This role is heavily focused on econometric modeling, time series analysis, and causal inference, with applications in forecasting, pricing, and customer behavior analytics. The ideal candidate brings deep expertise in statistical modeling and is comfortable working with large-scale data environments.
Key Responsibilities
- Lead development of time series forecasting models (ARIMA, VAR, state-space models, etc.) for business-critical use cases.
- Apply econometric techniques such as WLS, panel data models, and causal inference methods to solve real-world business problems.
- Design and implement Bayesian models and probabilistic frameworks for uncertainty estimation and decision-making.
- Utilize Markov chains and stochastic processes for modeling sequential or behavioral data.
- Translate business problems into robust analytical frameworks and deliver actionable insights.
- Work with large datasets using Databricks
- Collaborate with stakeholders across business and technical teams to ensure model relevance and impact.
- Mentor junior team members and drive best practices in statistical modeling and experimentation.
Must-Have Qualifications
- Strong foundation in econometrics and time series analysis (this is critical for the role).
- Hands-on experience with:
- Time series models (ARIMA, SARIMA, VAR, forecasting techniques)
- Econometric methods (WLS, regression diagnostics, panel data models)
- Causal inference (A/B testing, quasi-experimental methods)
- Bayesian statistics and probabilistic modeling
- Markov chains or stochastic modeling
- Proficiency in Python along with SQL.
- Experience working with Databricks or similar big data platforms.
- Ability to clearly communicate complex statistical concepts to non-technical stakeholders.
Secondary / Good-to-Have Skills (General Data Science)
- Experience with machine learning models (classification, regression, tree-based models, etc.)
- Familiarity with feature engineering, model validation, and performance tuning
- Exposure to ML pipelines and MLOps concepts
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001