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Manager Causal Inference Jobs (NOW HIRING)

Walmart

Senior Manager, Advanced Analytics

Oakland, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Apple

Applied ML Science Manager

Cupertino, CA · On-site

We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference ...

Walmart

Senior Manager, Advanced Analytics

Fremont, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Berkeley, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Newark, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Hayward, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Richmond, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

Walmart

Senior Manager, Advanced Analytics

Alameda, CA

$117K - $234K/yr

What you'll do...We are looking for a Senior Manager, Advanced Analytics to lead high-impact ... Experience with experimentation, causal inference, forecasting, econometric modeling, or marketing ...

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How much do manager causal inference jobs pay per year?

As of May 31, 2026, the average yearly pay for manager causal inference in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.
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Manager Causal Inference jobs near you

Senior Manager - Data Science

Inizio Partners Corp

Philadelphia, PA • Hybrid

Full-time

Posted 22 days ago

Job description

Role: Senior Manager Data Science

Location: Philadelphia, PA

Type: Hybrid (2-3 days / week in office)

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