1

Data Science Curriculum Developer Jobs (NOW HIRING)

Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics. Overview: SOSi is seeking a Training Curriculum ...

Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics. Overview: SOSi is seeking a Training Curriculum ...

Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics. Overview: SOSi is seeking a Training Curriculum ...

Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics. Overview: SOSi is seeking a Training Curriculum ...

Curriculum Developer / Instructional Designer - EdTech Location: Torrance / Hybrid Employment Type ... Background in Mathematics, English Language Arts (ELA), Science, or other core academic subjects

Job Type Full-time Description Venesco, LLC., is seeking a Curriculum Developer to assist on a ... Associate's degree in environmental science, Occupational Health, Preventive Medicine, or related ...

Coding and computer science are essential skills for students to learn and schools to teach. About the Role We are seeking a creative and detail-oriented Curriculum Developer to join our curriculum ...

next page

Showing results 1-20

Data Science Curriculum Developer information

See salary details

$48K

$111.8K

$166K

How much do data science curriculum developer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science curriculum developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What does a data science curriculum developer do?

A Data Science Curriculum Developer designs, creates, and updates educational materials and learning experiences for students or professionals aspiring to learn data science. This role involves researching current industry trends, collaborating with subject matter experts, and integrating best practices in pedagogy to ensure courses are engaging and effective. Responsibilities often include creating lesson plans, assignments, assessments, and sometimes delivering training or workshops. The goal is to equip learners with practical skills in areas such as programming, statistics, machine learning, and data visualization. Data Science Curriculum Developers may work for universities, online education platforms, or corporate training programs.

What are the key skills and qualifications needed to thrive as a data science curriculum developer, and why are they important?

To thrive as a Data Science Curriculum Developer, you need a strong background in data science concepts, programming (such as Python or R), statistics, and curriculum design, often supported by experience in education or instructional design. Familiarity with e-learning platforms, data analysis tools (like Jupyter, Tableau), and learning management systems (LMS) is typically required. Exceptional communication, creativity, and the ability to translate complex concepts into accessible learning materials are crucial soft skills. These skills ensure that curricula are accurate, engaging, and effective in preparing learners for real-world data science challenges.

How does a data science curriculum developer typically collaborate with subject matter experts and instructors during the course creation process?

A Data Science Curriculum Developer frequently works alongside subject matter experts (SMEs) to ensure course content is both accurate and up-to-date with current industry standards. Collaboration often involves regular meetings, peer reviews, and iterative feedback to refine lesson plans, assignments, and assessments. Developers also partner with instructors to align teaching materials with learning objectives and to adapt content based on student feedback. This team-oriented approach helps create engaging, practical, and relevant educational experiences for learners.

What is the difference between Data Science Curriculum Developer vs Data Analyst?

AspectData Science Curriculum DeveloperData Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; certifications in data toolsBachelor's in Statistics, Math, or related; often certifications in analytics tools
Work EnvironmentEducational institutions, online platforms, corporate trainingBusiness, finance, marketing departments, or consulting firms
Employer & Industry UsageEdTech companies, universities, corporate training programsCorporations, consulting firms, research organizations
Common Search & Comparison IntentUnderstanding roles related to curriculum creation in data scienceUnderstanding data analysis roles and skills

The main difference is that a Data Science Curriculum Developer focuses on designing and creating educational content for data science training, while a Data Analyst interprets data to support business decisions. Both roles require analytical skills, but their primary functions and work environments differ significantly.

What are popular job titles related to Data Science Curriculum Developer jobs?

For Data Science Curriculum Developer jobs, the most frequently searched job titles are:

Infographic showing various Data Science Curriculum Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

AI/Data Science Training/Curriculum Developer (DoW SkillBridge) with Security Clearance

Columbia, MD • On-site

IntelliGenesis
IT Services • 51 - 200 employees

Other

Medical, Life, Retirement, PTO

Re-posted 14 days ago


Job description

AI/Data Science Training Manager/Curriculum Developer (DoW SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus) The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. More information can be found here: https://skillbridge.osd.mil/index.htm Eligibility Requirements:
* Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
* Served at least 180 days on active duty
* Within 180 days of separation or retirement
* Will receive an honorable discharge
* Has taken any service TAPS/TGPS
* Has attended or participated in an ethics brief within the last 12 months
* Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internshipDuration:
* 90-180 daysPosition Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You’ll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense. Position Requirements:
* Must be a US Citizen
* Active TS/SCI clearance/polygraph required
* Must be able to report daily to Columbia, MD office
* Strong understanding of IC mission, tools, and workflows
* Experience in developing, modernizing, or delivering technical training
* Familiarity with curriculum development methodologies and instructional systems design (ISD) principlesMinimum six (6) years of experience in one or more of the following fields:
* Data Science / Data Analytics
* Machine Learning / Artificial Intelligence
* Signals Analysis
* SIGINT Metadata Analysis
* Cyber Threat Intelligence
* Target Digital Network Analysis
* Digital Network Exploitation Analysis
* Malware Analysis
* Cloud-based Data Pipelines
* Conducting Network Vulnerability AssessmentsIdeal Candidates Come From the Following Military Occupational Skill Communities:
* Air Force: 1N4, 3D0, 3D1
* Marine Corps: 2611, 2629, 1721
* Army: 17C, 170A, 35N, 352N
* Navy: CTN, CTR, IW OfficersDesired Training or Certifications:
* Master Training Specialist (MTS)
* Common Faculty Development–Instructor Course (CFD-IC)
* Army Basic Instructor Course (ABIC)
* Air Force Basic Instructor Course (BIC)
* Adjunct Faculty (ADET, NCS, NCU)
* AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
* Data Science Bootcamps or equivalent experienceBonus Experience:
* Familiarity with Jupyter Notebooks, Python, R, or SQL
* Experience with data visualization tools (Power BI, Tableau, etc.)
* Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
* Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
 
_____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.