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Causal Inference Jobs in Baltimore, MD (NOW HIRING)

Familiarity with experimental design and causal inference methodologies *Familiarity with or interest in applying generative AI techniques *Excellent communication skills, passion for educational ...

Data Scientist

Lanham, MD · On-site

$106K/yr

Experience applying statistical methods, hypothesis testing, experimental design, causal inference, and model evaluation techniques to support data-driven decision making. * Experience working with ...

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Causal Inference information

See Baltimore, MD salary details

$54.6K

$98.6K

$134.6K

How much do causal inference jobs pay per year?

As of Jul 23, 2026, the average yearly pay for causal inference in Baltimore, MD is $98,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $107,800.00 per year, depending on experience, location, and employer.

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.

What are the most commonly searched types of Causal Inference jobs in Baltimore, MD? The most popular types of Causal Inference jobs in Baltimore, MD are:
What are popular job titles related to Causal Inference jobs in Baltimore, MD? For Causal Inference jobs in Baltimore, MD, the most frequently searched job titles are:
What cities near Baltimore, MD are hiring for Causal Inference jobs? Cities near Baltimore, MD with the most Causal Inference job openings:
Infographic showing various Causal Inference job openings in Baltimore, MD as of July 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $98,600 per year, or $47.4 per hour.

Senior Faculty Specialist

Umd

College Park, MD

Full-time

Posted 26 days ago


Job description

Job Description Summary & Additional Information

Organization's Summary Statement:
University of Maryland's College of Education's Center for Educational Data Science and Innovation (EDSI) is dedicated to advancing research and practice at the intersection of data science, artificial intelligence (AI), and education.
EDSI's mission encompasses three primary objectives:
1. Accelerating cutting-edge research that leverages data science and AI to address critical issues in education and advance education equity and effectiveness;
2. Bridging educators, researchers, policymakers, and industry leaders to promote evidence- based, ethical, and responsible use of data and AI in education;
3. Transforming education systems to achieve greater equity, efficiency, and effectiveness for all students through innovative technological advancements and policy solutions.
Through these objectives, EDSI aims to position the University of Maryland College Park at the forefront of innovation in educational data science, policy analysis, and the application of AI in learning environments.
EDSI is seeking a highly skilled Senior Faculty Specialist (Data Scientist) to lead data-driven research initiatives aimed at improving educational practices. This position involves working with a diverse array of educational data types, coordinating research collaborations, supporting the integration of research insights into innovative educational products and interventions, and exploring cutting-edge technologies, including generative AI, to enhance educational research and practice.
Major responsibilities will include overseeing the collection, management, and analysis of complex educational data from multiple sources, including classroom recordings, administrative datasets, and proprietary learning tools. Additionally, the Senior Faculty Specialist will translate research findings into actionable tools and products, working closely with software developers, educational partners, and researchers.

We are willing to sponsor H-1B visas for qualified candidates.
Minimum Qualifications:
Education: Master's degree or higher in Computer Science, Data Science, Statistics, Education, or a related field.
Experience:
*Demonstrated experience in managing large datasets and conducting advanced data analyses. *Experience in project management and collaboration in a research or academic setting.
Knowledge, Skills, and Abilities:
*Expertise in data analysis and machine learning, with experience applying these techniques
*Strong programming skills in Python, R, or similar languages.
*Familiarity with experimental design and causal inference methodologies
*Familiarity with or interest in applying generative AI techniques
*Excellent communication skills, passion for educational research, and a desire to contribute to impactful educational research.
Preferences:
*Recent PhD in relevant field
*Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred.
*Familiarity with experimental design and causal inference methodologies, particularly in educational contexts.
*Familiarity with or interest in applying generative AI techniques in educational contexts is a plus.
Physical Demands:
*Sedentary work is performed in a normal office environment and requires the ability to operate standard office equipment and keyboards.
*Must be able to read computer screen and type for extended periods
*Must have the ability to walk short distances, and/or drive a vehicle to deliver and pick up materials.

RequiredJobApplicationMaterials:

Resume/CV, Cover Letter, References

Best Consideration Date:

January 31, 2025

Open Until Filled: Yes

DepartmentEDUC-College of EducationWorker Sub-Type Faculty Non-Regular (Fixed Term)Salary Range$85,000 - $105, 000
Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO/AA Statement

The University of Maryland, College Park is an EqualOpportunity/AffirmativeAction Employer; all qualified applicants, including veterans and people with disabilities, will receive consideration for employment. UMD is actively engaged in recruiting, hiring, and promoting underrepresented communities. Please read the entire University of MarylandEqual Employment Opportunity and Affirmative Action Statement of Policy.

Women, Minorities, Disabled, Veterans, and LGBTQ+ Welcome!

Diversity Statement

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Title IX Non-Discrimination Notice

The University of Maryland (UMD) does not discriminate on the basis of sex, gender identity or expression, sexual orientation, race, color religion, national origin, ethnicity, physical or mental disability, protected veteran status, age, genetic information or any other characteristic protected by law in its programs and activities. Specifically, Title IX prohibits discrimination on the basis of sex in UMD programs and activities, including with respect to admission and employment.

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