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Data Science Faculty Jobs in Washington (NOW HIRING)

Umd

Senior Faculty Specialist

College Park, MD · On-site

University of Maryland's College of Education's Center for Educational Data Science and Innovation ... EDSI is seeking a highly skilled Senior Faculty Specialist (Data Scientist) to lead data-driven ...

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Data Science Faculty information

See Washington salary details

$25.8K

$107K

$214.7K

How much do data science faculty jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science faculty in Washington is $106,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,241.00 and $155,681.00 per year, depending on experience, location, and employer.

What is a data science faculty?

Data Science Faculty are educators and researchers who teach and conduct research in the field of data science at colleges or universities. They design and deliver courses on topics such as statistics, machine learning, data analysis, and programming. In addition to teaching, they often mentor students, publish research, and may collaborate with industry partners on real-world data projects. Their goal is to advance knowledge in data science and prepare students for careers in this rapidly growing field.

What are the key skills and qualifications needed to thrive as a data science faculty?

To thrive as a Data Science Faculty member, you need advanced knowledge in statistics, machine learning, and programming, typically supported by a graduate degree (Master's or Ph.D.) in data science or a related field. Familiarity with tools such as Python, R, SQL, and data visualization platforms, as well as experience using learning management systems, is essential. Excellent communication, mentorship, and curriculum development skills help engage students and foster an effective learning environment. These skills enable faculty to teach complex concepts clearly, guide student research, and stay current in a rapidly evolving discipline.

What are some common challenges data science faculty members face when balancing teaching and research responsibilities?

Data Science Faculty often juggle multiple responsibilities, including designing and delivering course content, mentoring students, and conducting their own research. One common challenge is allocating sufficient time for both high-quality instruction and advancing research projects, which may have overlapping deadlines. Faculty members also need to stay current with rapidly evolving data science tools and techniques to ensure their teaching remains relevant. Successful faculty often collaborate with colleagues, involve students in research, and utilize strong organizational skills to manage these demands effectively.

What is the difference between Data Science Faculty vs Data Analyst?

AspectData Science FacultyData Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsOften requires a bachelor's or master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentAcademic institutions, universities, research centersCorporate offices, consulting firms, or in-house data teams
Employer & Industry UsageEducational and research institutionsBusiness, finance, healthcare, marketing, and other industries
Common Search & Comparison IntentUnderstanding academic roles, teaching, research opportunitiesData interpretation, reporting, business insights

Data Science Faculty primarily focus on teaching and research within academic settings, requiring advanced degrees and engaging in scholarly activities. Data Analysts work in industry, analyzing data to generate actionable insights, often with less emphasis on research and more on practical data interpretation. While both roles involve data skills, their environments, responsibilities, and credentials differ significantly.

Data Science Faculty jobs near you
Infographic showing various Data Science Faculty job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $106,953 per year, or $51.4 per hour.

Full-Time Lead Faculty - Computer Science

Page Mechanical Group, Inc.

Washington, DC • On-site

$65 - $95/hr

Other

Posted 4 days ago

Job description

Job Title

Full-Time Lead Faculty – Information Technology and Computer Science

Division

Academic Affairs

On-Site

Supervisor

Academic Operations

Job Purpose

The Full-time Information Technology and Computer Science Faculty member is responsible for delivering high-quality instruction in information technology courses, supporting student learning, and contributing to academic standards within the department. This role includes teaching two to three courses as assigned, supporting course development, participating in curriculum revision, and engaging in institutional effectiveness activities to promote student achievement and program quality.

Education and Experience Required
  • Master’s degree in Information Technology, Computer Science, or a related field; doctorate degree preferred
  • Minimum of 2 years of college-level teaching experience
  • Demonstrated knowledge of data analysis concepts and tools
  • Strong proficiency in Microsoft Excel for data analysis and instructional use
  • Excellent attention to detail, organization, and academic communication
  • Experience using LMS platforms (e.g., Moodle) and instructional technology
  • Ability to manage multiple teaching and academic responsibilities effectively
Supervision Provided to Others

Yes

Responsibilities
  1. Course Instruction – Teach 2–3 IT courses as assigned and deliver outcomes‑aligned instruction.
  2. Student Support – Provide timely feedback, respond to inquiries, and monitor student academic progress.
  3. Curriculum Participation – Assist with course revision to maintain academic relevance and alignment.
  4. Data & Analysis Integration – Provide data analysis using Excel or other analytical tools to generate reports.
  5. Student & Faculty Data Management – Collect, analyze, and report on student performance, faculty assignments, and course effectiveness
  6. Student & Faculty Support – Respond to academic inquiries, assist faculty with course‑related tasks, and support student academic monitoring.
  7. Academic Collaboration – Work with other departments to ensure consistency in academic standards.
  8. Technology & Data Analysis – Utilize Microsoft Excel and academic management systems (e.g., Moodle, SONIS) for scheduling and reporting.
  9. Work Environment & Responsibilities – Office-based role requiring availability for on‑campus and online meetings to address faculty and student concerns.
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