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Phd Causal Inference Jobs in Boston, MA (NOW HIRING)

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

Senior Data Scientist - Hybrid

Boston, MA · On-site

$125K - $150K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * 5+ years ... Experience with causal inference and measurement methods for analyzing the impact of models on ...

Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development ... Knowledge of causal inference methods (e.g., propensity score analysis, directed acyclic graphs ...

... causal inference, lead scoring, personalization, and more. * Establish scalable reporting ... Advanced degree (MBA, MS, PhD, or equivalent) in a relevant discipline. * Experience supporting ...

... causal inference, lead scoring, personalization, and more. * Establish scalable reporting ... Advanced degree (MBA, MS, PhD, or equivalent) in a relevant discipline. * Experience supporting ...

Showing results 21-40

Phd Causal Inference information

See Boston, MA salary details

$43.5K

$133.5K

$193.9K

How much do phd causal inference jobs pay per year?

As of Sep 4, 2026, the average yearly pay for phd causal inference in Boston, MA is $133,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a PhD in causal inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in causal inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What are popular job titles related to Phd Causal Inference jobs in Boston, MA?

For Phd Causal Inference jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Phd Causal Inference jobs?

Cities near Boston, MA with the most Phd Causal Inference job openings:

Infographic showing various Phd Causal Inference job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,549 per year, or $64.2 per hour.

Senior Scientist, Data Science (AI, Operations Research & Optimization)- Hybrid

XPO Logistics

Boston, MA • On-site

$106K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


XPO rating

6.9

Company rating: 6.9 out of 10

Based on 226 frontline employees who took The Breakroom Quiz

233rd of 366 rated logistics


Job description

Please note that the following enhanced screening and interview requirements apply to this role: Virtual backgrounds or headphones / earbuds are not permitted during web-based interviews. Additionally, a minimum of one onsite, in person interview will be required as part of the application process. By choosing to apply, you acknowledge and agree to these requirements.
What you'll need to succeed as a Senior Scientist, Data Science at XPO
Minimum qualifications:
  • Bachelor's degree or equivalent related work or military experience
  • 2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization
  • Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects
  • Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning
  • Strong communication skills with a knack for translating complex AI concepts into clear business insights

Preferred qualifications:
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline
  • A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field
  • years of hands-on experience in developing and deploying optimization solutions
  • 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.
  • Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue
  • Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling
  • Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience
  • Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation
  • Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods

About the Senior Scientist, Data Science job
Pay, benefits and more:
  • Competitive compensation package
  • Full health insurance benefits are available on day one
  • Life and disability insurance
  • Earn up to 15 days of PTO over your first year
  • 9 paid company holidays
  • 401(k) option with company match
  • Education assistance
  • Opportunity to participate in a company incentive plan

What you'll do on a typical day:
  • Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company
  • Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions
  • You will be a thought leader for the practice of Data Science and Analytics across the organization
  • Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation
  • Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations
  • Communicate with technical and business-oriented audiences
  • Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges
  • Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance
  • Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs
  • Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO

Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.

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About XPO

Sourced by ZipRecruiter

Founded in Greenwich, Connecticut, XPO Logistics, Inc., operating under the brand name XPO, is a one of the leading companies in the transportation and logistics sector. Operating its services in 30 countries, the company employs the use of ground-breaking technology in providing a broad suite of logistics services including supply chain management, freight brokerage, last mile logistics, and intermodal and drayage transportation. XPO's impressive history dates back to 2011 and within its relatively short existence, it has made a series of acquisitions to consolidate its top-notch range of services. Their mission is to provide outstanding results to customers by envisioning and implementing significant advancements in freight transportation and logistics.

Industry

Import-export

Company size

10,000+ Employees

Headquarters location

Greenwich, CT, US